Embedded newform data - 368.2.a.i.1.2

Formats: - HTML - YAML - JSON - 2025-06-21T16:32:02.599105

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_largest	boolean
  is_maximal	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 1472, 'analytic_conductor': 2.9384947943831183, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [23, -1]], 'atkin_lehner_string': '+-', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [368, 1, [47, 277, 97], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 17, 'field_disc_factorization': [[17, 1]], 'field_poly': [-4, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[3, [-4, -1, 1]], [5, [-2, 1]]], 'hecke_orbit': 9, 'hecke_orbit_code': 36028797052518768, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '368.2.a.i', 'level': 368, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 23], 'level_radical': 46, 'minimal_twist': '184.2.a.e', 'nf_label': '2.2.17.1', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta q^{3}+2q^{5}+(1+\\beta )q^{9}-2\\beta q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '368.2.a', 'trace_display': [0, 1, 4, 0], 'trace_hash': 491554768078051575, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.040', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.942', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.193', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.234', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.761', 'prec': 17}, {'__RealLiteral__': 0, 'data': '60.379', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.011', 'prec': 17}, 'traces': [2, 0, 1, 0, 4, 0, 0, 0, 3, 0, -2, 0, 5, 0, 2, 0, 2, 0, -2, 0, 0, 0, 2, 0, -2, 0, 7, 0, 3, 0, 9, 0, -18, 0, 0, 0, 0, 0, 11, 0, 1, 0, 16, 0, 6, 0, -11, 0, -14, 0, -16, 0, 4, 0, -4, 0, -18, 0, -4, 0, 8, 0, 0, 0, 10, 0, 2, 0, 1, 0, -23, 0, -17, 0, -1, 0, 0, 0, 2, 0, -14, 0, -12, 0, 4, 0, -7, 0, -2, 0, 0, 0, 13, 0, -4, 0, -2, 0, -20, 0, 8, 0, 12, 0, 0, 0, -14, 0, 18, 0, -34, 0, -14, 0, 4, 0, 16, 0, 0, 0, 14, 0, 43, 0, -24, 0, 11, 0, 8, 0, -19, 0, 0, 0, 14, 0, 22, 0, 19, 0, -31, 0, -22, 0, 6, 0, -7, 0, -24, 0, 25, 0, -14, 0, 18, 0, 34, 0, 2, 0, 0, 0, -9, 0, -36, 0, 32, 0, -5, 0, -20, 0, -20, 0, 0, 0, 32, 0, 19, 0, 24, 0, 38, 0, 0, 0, 32, 0, 0, 0, -26, 0, -5, 0, 22, 0, -5, 0, -14, 0, 18, 0, 0, 0, 2, 0, 3, 0, 36, 0, 8, 0, -3, 0, 32, 0, 0, 0, 17, 0, -12, 0, 24, 0, -3, 0, -4, 0, 38, 0, 0, 0, 5, 0, -22, 0, 18, 0, -15, 0, -20, 0, -28, 0, -28, 0, -22, 0, 28, 0, -4, 0, -2, 0, -32, 0, -23, 0, 0, 0, -4, 0, 30, 0, 8, 0, -52, 0, 39, 0, -48, 0, 0, 0, 2, 0, 15, 0, 22, 0, 2, 0, 2, 0, -36, 0, 0, 0, 2, 0, -52, 0, -6, 0, -8, 0, 10, 0, 5, 0, 0, 0, -30, 0, 16, 0, 20, 0, -28, 0, -7, 0, -6, 0, 0, 0, -24, 0, 14, 0, 10, 0, 32, 0, -5, 0, -8, 0, 0, 0, -1, 0, -34, 0, 4, 0, -2, 0, -24, 0, -26, 0, 0, 0, 2, 0, 0, 0, -57, 0, 9, 0, 27, 0, -46, 0, 0, 0, 6, 0, -2, 0, 41, 0, -34, 0, 12, 0, 44, 0, 0, 0, 12, 0, -12, 0, -1, 0, -8, 0, 31, 0, -36, 0, 0, 0, 24, 0, -22, 0, 2, 0, -35, 0, 4, 0, 37, 0, 0, 0, -40, 0, 31, 0, -28, 0, 68, 0, -1, 0, 28, 0, 0, 0, -24, 0, 35, 0, -8, 0, -46, 0, -42, 0, -2, 0, 0, 0, -62, 0, 24, 0, 0, 0, -14, 0, -2, 0, 15, 0, -21, 0, 41, 0, -4, 0, 22, 0, 0, 0, -86, 0, 21, 0, 0, 0, 14, 0, 24, 0, -1, 0, 8, 0, 26, 0, 6, 0, 0, 0, 0, 0, -16, 0, 2, 0, 6, 0, -4, 0, -34, 0, 0, 0, -4, 0, -37, 0, 55, 0, -5, 0, 20, 0, -40, 0, 0, 0, 9, 0, 16, 0, 10, 0, 16, 0, 40, 0, 23, 0, 0, 0, 10, 0, 24, 0, 62, 0, -10, 0, -2, 0, -28, 0, 0, 0, -8, 0, 2, 0, 28, 0, 45, 0, -28, 0, 35, 0, 14, 0, 43, 0, 46, 0, 36, 0, -17, 0, 46, 0, 14, 0, 0, 0, -68, 0, -10, 0, 40, 0, 16, 0, -28, 0, -28, 0, 0, 0, 0, 0, 56, 0, 38, 0, -2, 0, 3, 0, -11, 0, 0, 0, -4, 0, 32, 0, 9, 0, -26, 0, 57, 0, -40, 0, 0, 0, 10, 0, -16, 0, -57, 0, 20, 0, 28, 0, -20, 0, 0, 0, -53, 0, 18, 0, 86, 0, 4, 0, -24, 0, 7, 0, 0, 0, -38, 0, 52, 0, 68, 0, -36, 0, 4, 0, 22, 0, -35, 0, -26, 0, -2, 0, 22, 0, 16, 0, 5, 0, -64, 0, 0, 0, 13, 0, -38, 0, 0, 0, 12, 0, 16, 0, -40, 0, 0, 0, 3, 0, -56, 0, -76, 0, -43, 0, -7, 0, -12, 0, 0, 0, -36, 0, -45, 0, 44, 0, 36, 0, 10, 0, 24, 0, 0, 0, 38, 0, -84, 0, 79, 0, 2, 0, 68, 0, -62, 0, 0, 0, -50, 0, 20, 0, 9, 0, -44, 0, 69, 0, 24, 0, 0, 0, -78, 0, -3, 0, 54, 0, -6, 0, 16, 0, 74, 0, -14, 0, -36, 0, -13, 0, -62, 0, -52, 0, -48, 0, 16, 0, 0, 0, -16, 0, -36, 0, 50, 0, -36, 0, -18, 0, -49, 0, 0, 0, -28, 0, 24, 0, -12, 0, -37, 0, 30, 0, -9, 0, 0, 0, -86, 0, 6, 0, 19, 0, 68, 0, 36, 0, -2, 0, 0, 0, 54, 0, 4, 0, 8, 0, 40, 0, -54, 0, -34, 0, 0, 0, 45, 0, 52, 0, -39, 0, -24, 0, -18, 0, -16, 0, 0, 0, 0, 0, -103, 0, 18, 0, 24, 0, -24, 0, -35, 0, -14, 0, 64, 0, 23, 0, -84, 0, -45, 0, -16, 0, -10, 0, 0, 0, 18, 0, 0, 0, -4, 0, -40, 0, 29, 0, -71, 0, 0, 0, -29, 0, -40, 0, -33, 0, -36, 0, 22, 0, -54, 0, 0, 0, -4, 0, 48, 0, 18, 0, -8, 0, 64, 0, -27, 0, 0, 0, 14, 0, 62, 0, 38, 0, 11, 0, 5, 0, 4, 0, 0, 0, 48, 0, -94, 0, -22, 0, 66, 0, -56, 0, 76, 0, 0, 0, -92, 0, -24, 0, -49, 0, 0, 0, -16, 0, 49, 0, 14, 0, 5, 0, 64, 0, 48, 0, 48, 0, 70, 0, 1, 0, 0, 0, 1, 0, -17, 0, -46, 0, 72, 0, -52, 0, -10, 0, 0, 0, -13, 0, -4, 0, -10, 0, -33, 0, 16, 0, -38, 0, 0, 0, -11, 0, -32, 0, 104, 0, 10, 0, 30, 0, -10, 0, 0, 0, 16, 0, 48, 0, 127, 0, -28, 0, 28, 0, 34, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [1.4789132060186212, 0.0], [0.0, 0.0], [0.8944271909999159, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.1871842709362768, 0.0], [0.0, 0.0], [-1.5446744655938858, 0.0], [0.0, 0.0], [1.265147120178402, 0.0], [0.0, 0.0], [1.3227801845919152, 0.0], [0.0, 0.0], [-0.757464374963667, 0.0], [0.0, 0.0], [-1.1753210367974791, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.20851441405707477, 0.0], [0.0, 0.0], [-0.2, 0.0], [0.0, 0.0], [0.2768292902466273, 0.0], [0.0, 0.0], [-0.10427773947881044, 0.0], [0.0, 0.0], [1.1784896747091644, 0.0], [0.0, 0.0], [-2.284439466166554, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.35566877880913, 0.0], [0.0, 0.0], [1.8710427835882664, 0.0], [0.0, 0.0], [1.6878891714862647, 0.0], [0.0, 0.0], [1.2199885626608373, 0.0], [0.0, 0.0], [1.061849892652817, 0.0], [0.0, 0.0], [-1.7043826037768819, 0.0], [0.0, 0.0], [-1.0, 0.0], [0.0, 0.0], [-1.1202240672224077, 0.0], [0.0, 0.0], [0.27472112789737807, 0.0], [0.0, 0.0], [-1.3815988432704354, 0.0], [0.0, 0.0], [-1.7381978026312896, 0.0], [0.0, 0.0], [0.8131874405544957, 0.0], [0.0, 0.0], [1.5679666796072966, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.131581984902801, 0.0], [0.0, 0.0], [0.625886967660371, 0.0], [0.0, 0.0], [0.3083747205942427, 0.0], [0.0, 0.0], [-1.1201376003589847, 0.0], [0.0, 0.0], [-0.27099023251744386, 0.0], [0.0, 0.0], [-0.2957826412037242, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.5763944154548478, 0.0], [0.0, 0.0], [-0.7777777777777778, 0.0], [0.0, 0.0], [0.24655371577236146, 0.0], [0.0, 0.0], [-0.6774967331812597, 0.0], [0.0, 0.0], [-0.1542177260089821, 0.0], [0.0, 0.0], [-1.417144754659741, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.7428839430839722, 0.0], [0.0, 0.0], [-1.051239093465878, 0.0], [0.0, 0.0], [-1.3574484621368847, 0.0], [0.0, 0.0], [-1.83381322926996, 0.0], [0.0, 0.0], [-0.4225138112467236, 0.0], [0.0, 0.0], [-0.22132577107842127, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.2781198766845604, 0.0], [0.0, 0.0], [0.46712176220305673, 0.0], [0.0, 0.0], [-2.0049164599679594, 0.0], [0.0, 0.0], [-1.0463737583253523, 0.0], [0.0, 0.0], [0.18650096164806276, 0.0], [0.0, 0.0], [1.5019627614961264, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.3860192046577564, 0.0], [0.0, 0.0], [2.496241586006866, 0.0], [0.0, 0.0], [-1.0733126291998991, 0.0], [0.0, 0.0], [1.0368457725641669, 0.0], [0.0, 0.0], [1.8042571965107885, 0.0], [0.0, 0.0], [-1.3703749704996007, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.24760364446179126, 0.0], [0.0, 0.0], [1.2920541099705876, 0.0], [0.0, 0.0], [1.330355365328489, 0.0], [0.0, 0.0], [-2.520633940834034, 0.0], [0.0, 0.0], [-1.9542404517592167, 0.0], [0.0, 0.0], [-0.09326884560585345, 0.0], [0.0, 0.0], [-1.4789132060186212, 0.0], [0.0, 0.0], [-0.30752235658732535, 0.0], [0.0, 0.0], [1.185002362085054, 0.0], [0.0, 0.0], [-0.8992497917514436, 0.0], [0.0, 0.0], [1.0540732093725225, 0.0], [0.0, 0.0], [1.027688051286945, 0.0], [0.0, 0.0], [0.406288704019763, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.7778457461896278, 0.0], [0.0, 0.0], [-2.043264774732698, 0.0], [0.0, 0.0], [1.238117172054619, 0.0], [0.0, 0.0], [0.600597235695704, 0.0], [0.0, 0.0], [-1.395322648186484, 0.0], [0.0, 0.0], [-0.7602859212697055, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.202633644804526, 0.0], [0.0, 0.0], [1.1723264134707738, 0.0], [0.0, 0.0], [1.504889030672673, 0.0], [0.0, 0.0], [2.318886629068399, 0.0], [0.0, 0.0], [-1.2125470177565365, 0.0], [0.0, 0.0], [1.170035878603409, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.04563462918956956, 0.0], [0.0, 0.0], [-0.32834775625318074, 0.0], [0.0, 0.0], [1.6735115411655166, 0.0], [0.0, 0.0], [0.8500392691785711, 0.0], [0.0, 0.0], [-0.20393763507938553, 0.0], [0.0, 0.0], [0.9256325019478724, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.509693970371635, 0.0], [0.0, 0.0], [0.24754503263205324, 0.0], [0.0, 0.0], [1.8154883944163978, 0.0], [0.0, 0.0], [0.2753713563286057, 0.0], [0.0, 0.0], [-1.6565862897289112, 0.0], [0.0, 0.0], 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[-0.20809146743210108, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.3460136684711452, 0.0], [0.0, 0.0], [-1.4237039101603561, 0.0], [0.0, 0.0], [-0.5016017509654492, 0.0], [0.0, 0.0], [1.2299433608954193, 0.0], [0.0, 0.0], [-0.3808452291508592, 0.0], [0.0, 0.0], [2.0740752538849123, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.2453825772629508, 0.0], [0.0, 0.0], [0.1480303543889771, 0.0], [0.0, 0.0], [-1.4171388592977152, 0.0], [0.0, 0.0], [0.271133755761826, 0.0], [0.0, 0.0], [-0.2627544741771448, 0.0], [0.0, 0.0], [1.142005694647483, 0.0], [0.0, 0.0], [1.1753210367974791, 0.0], [0.0, 0.0], [-0.12063030165000418, 0.0], [0.0, 0.0], [1.0465119042683657, 0.0], [0.0, 0.0], [0.5146538453300676, 0.0], [0.0, 0.0], [0.783210399797805, 0.0], [0.0, 0.0], [1.2753767936472327, 0.0], [0.0, 0.0], [0.3519492215857399, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.08323928188919305, 0.0], [0.0, 0.0], [-0.34284251226591966, 0.0], [0.0, 0.0], [-1.6817321235195228, 0.0], [0.0, 0.0], [1.4332753712057855, 0.0], [0.0, 0.0], [-0.04081685319834946, 0.0], [0.0, 0.0], [0.2382161835080287, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.388837913396112, 0.0], [0.0, 0.0], [-0.330179543034647, 0.0], [0.0, 0.0], [-0.2936831612966575, 0.0], [0.0, 0.0], [-1.1272598515472203, 0.0], [0.0, 0.0], [1.3166229121333293, 0.0], [0.0, 0.0], [-1.0066892854941623, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.3742085567176533, 0.0], [0.0, 0.0], [-1.8309837057729907, 0.0], [0.0, 0.0], [2.1890273165732137, 0.0], [0.0, 0.0], [0.5545596086995047, 0.0], [0.0, 0.0], [-0.7051341157132144, 0.0], [0.0, 0.0], [0.7602982357710107, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.25438520029955736, 0.0], [0.0, 0.0], [-0.28541300781161144, 0.0], [0.0, 0.0], [2.473061398215266, 0.0], [0.0, 0.0], [-0.18240736608322072, 0.0], [0.0, 0.0], [0.44338444865367543, 0.0], [0.0, 0.0], [-0.37528882584724343, 0.0], [0.0, 0.0]], 'angles': [None, -0.1175412582289865, -0.17620819117478337, -0.25, -0.3904562131944908, -0.14099930169741487, -0.3118199264499899, -0.34997546293315435, None, -0.2583019231575355, -0.14971267259691032, -0.3685406819376669, -0.09011379810217846, -0.1455858625861807, -0.4123633705624669, -0.22806904970820613, -0.18335823201528417, -0.10659236901441801, -0.19934247682629813, -0.34461265518491163, -0.2716312528567977, -0.2034720660553276, -0.23032984064274792, -0.37533021783825027, -0.36873341727416076, -0.2838778341470471, -0.2676486928195742, -0.27220403497981993, -0.21248109217232847, -0.33762851349639444, -0.16325966343084042, -0.37013987106883645, -0.1382146548127319, -0.13417789398447608, -0.27456932147014357, -0.14907027439877654, -0.1641105019142604, -0.18642362774874918, -0.14375716671333916, -0.31206260624397164, -0.15031886720448612, -0.11443729064492504, -0.2536318035898987, -0.27624790761535234, -0.18013359382172425, -0.26625709736916847, -0.22801680981914133, -0.2740308834928252, -0.305219033089795, -0.11161416359050351, -0.12888309822336538, -0.19181271301926764, -0.4126900479417595, -0.3024075094112684, -0.3429853976683046, -0.19557288042542892, -0.10684150396279816, -0.37999522451398876, -0.2634408650376088, -0.2648475150160384, -0.22567107510750595, -0.20587942770554582, -0.2420314428635113, -0.25649268494014116, -0.20734825975752197, -0.3462516263699144, -0.09241290318577579, -0.16029460991102545, -0.32298608120369116, -0.3518712642775365, -0.2007714331208526, -0.32694695424533593, -0.2593359129174238, -0.15107513628411562, -0.3382128986387438, -0.36697292269413107, -0.24447405500276745, -0.16371442601771005, -0.2974063889149808, -0.3679182021691459, -0.20064713517463664, -0.3649231615455983, -0.12963527214806375, -0.14868858075361052, -0.2924860868765366, -0.22697334042204695, -0.2811674175267122, -0.27004007213041503, -0.2904921605715526, -0.29687522907949004, -0.19213766348140326, -0.28760399352814786, -0.2950065617959358, -0.29666190418171257, -0.16370672280546603, -0.2762667723887699, -0.3050586166891032, -0.1793121358844394, -0.27007452914032604, -0.10952946942567834, -0.44051149182303817, -0.2529568875359577, -0.2693445980159799, -0.27764872541728175, -0.2112969811966836, -0.19620487440846918, -0.1710847867270678, -0.4353387087825535, -0.2761287932073041, -0.39534997491782425, -0.2016548992315581, -0.3460706986221063, -0.12564879057507566, -0.34703328131630623, -0.22858795166250304, -0.29252558992307137, -0.1737816401512758, -0.15231524800626822, -0.16845841436713846, -0.2569652493540851, -0.2507620771868454, -0.25904175268992136, -0.3847700121915335, -0.300523670894961, -0.3153474633950741, -0.1546441600337889, -0.3737914671558286, -0.2633479794233841, -0.11974521208423367, -0.06736629609428924, -0.25092310598275297, -0.3581011169048991, -0.3844398963484939, -0.25436090059507926, -0.30385584743726285, -0.2672515850567263, -0.24246764003139226, -0.17252550267243902, -0.21520410317373478, -0.1744520077412621, -0.3515699679547742, -0.3210416537014752, -0.41528681165428577, -0.2624440161488163, -0.3071794359393267, -0.41708796885702754, -0.3522034481210103, -0.20435742414301822, -0.29667724920261457, -0.2277773863915892, -0.16237987957769512, -0.23691013201732683, -0.35690477786271985, -0.3036041432149298, -0.3760716554014543, -0.1445837150857758, -0.3569803724659806, -0.1532772583560594, -0.20857913857183374, -0.13994537709890806, -0.24337411458723937, -0.12284007027404387, -0.3452977914023003, -0.3339486877445765, -0.434099093080727, -0.3073455790463244, -0.27279025105219507, -0.21442098629526896], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': 2.5615528128088303, 'hecke_orbit': 9, 'hecke_orbit_code': 36028797052518768, 'label': '368.2.a.i.1.2', 'level': 368, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'ALdims': [3, 3, 4, 1], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [2, 3, 3, 3], 'ALdims_old': [4, 12, 5, 11], 'Nk2': 1472, 'analytic_conductor': 2.9384947943831183, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [368, 1, [47, 277, 97], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 43, 'dim': 11, 'eis_dim': 11, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5], 'hecke_orbit_code': 33554800, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 2, 2], 'label': '368.2.a', 'level': 368, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 23], 'level_radical': 46, 'mf_dim': 54, 'mf_new_dim': 11, 'num_forms': 9, 'plus_dim': 4, 'prim_orbit_index': 1, 'relative_dim': 11, 'sturm_bound': 96, 'trace_bound': 5, 'trace_display': [0, 2, -2, 4], 'traces': [11, 0, 2, 0, -2, 0, 4, 0, 7, 0, 0, 0, -2, 0, 0, 0, -2, 0, 4, 0, 0, 0, -3, 0, 5, 0, 2, 0, -2, 0, 10, 0, -8, 0, 0, 0, -10, 0, 14, 0, 6, 0, 0, 0, -10, 0, -22, 0, 11, 0, 4, 0, -10, 0, -24, 0, 8, 0, -4, 0, -18, 0, 32, 0, 12, 0, -8, 0, 0, 0, -6, 0, -2, 0, 6, 0, -8, 0, 28, 0, 3, 0, -20, 0, -12, 0, -46, 0, 6, 0, 4, 0, 12, 0, 8, 0, 6, 0, -8, 0, -6, 0, -36, 0, -24, 0, -28, 0, -10, 0, -24, 0, -10, 0, 6, 0, -22, 0, -24, 0, 7, 0, -22, 0, -12, 0, 30, 0, 0, 0, -22, 0, 16, 0, 16, 0, 22, 0, 54, 0, -12, 0, 16, 0, 20, 0, 58, 0, 14, 0, 2, 0, -2, 0, -48, 0, 22, 0, 28, 0, 0, 0, 14, 0, -24, 0, 16, 0, 29, 0, -56, 0, -6, 0, 52, 0, 24, 0, 78, 0, 22, 0, -12, 0, -20, 0, -16, 0, 8, 0, -16, 0, 6, 0, 88, 0, -2, 0, 0, 0, 0, 0, 52, 0, 28, 0, -9, 0, -8, 0, 28, 0, 20, 0, 24, 0, 16, 0, -50, 0, -4, 0, 80, 0, -63, 0, -12, 0, 30, 0, -64, 0, -2, 0, -16, 0, 48, 0, -54, 0, -26, 0, -12, 0, 6, 0, 68, 0, -48, 0, -76, 0, 0, 0, 0, 0, -2, 0, 16, 0, 2, 0, 20, 0, 4, 0, -96, 0, 62, 0, -80, 0, -24, 0, 40, 0, -10, 0, 20, 0, -26, 0, 16, 0, -16, 0, -60, 0, 25, 0, -28, 0, 62, 0, -104, 0, -48, 0, 24, 0, 0, 0, -52, 0, 4, 0, -20, 0, 64, 0, -14, 0, 14, 0, -112, 0, -54, 0, 56, 0, -32, 0, 120, 0, -38, 0, 8, 0, -80, 0, 94, 0, -42, 0, 40, 0, -18, 0, -124, 0, -32, 0, 32, 0, 0, 0, -44, 0, 22, 0, -6, 0, -2, 0, -88, 0, 40, 0, 76, 0, -9, 0, 122, 0, 20, 0, -44, 0, -18, 0, -40, 0, -18, 0, -8, 0, 12, 0, 72, 0, 92, 0, 40, 0, -24, 0, 192, 0, 6, 0, -14, 0, -8, 0, 64, 0, 6, 0, 72, 0, -82, 0, -30, 0, 6, 0, 104, 0, 46, 0, -64, 0, -16, 0, -72, 0, 24, 0, -64, 0, -82, 0, -156, 0, 10, 0, -56, 0, -8, 0, 104, 0, 62, 0, -16, 0, 0, 0, -18, 0, -49, 0, -38, 0, -20, 0, 84, 0, -50, 0, -136, 0, -36, 0, -112, 0, 14, 0, 124, 0, 22, 0, 16, 0, 8, 0, 36, 0, -24, 0, -104, 0, -72, 0, -36, 0, 14, 0, -108, 0, 52, 0, 12, 0, 4, 0, -106, 0, 0, 0, -42, 0, -124, 0, 56, 0, 8, 0, -118, 0, 96, 0, 68, 0, 60, 0, 100, 0, 86, 0, 36, 0, 72, 0, 176, 0, 64, 0, 12, 0, 30, 0, -100, 0, -8, 0, 76, 0, 11, 0, -4, 0, -24, 0, -8, 0, 56, 0, -56, 0, -74, 0, 192, 0, 36, 0, 110, 0, 30, 0, -68, 0, 32, 0, -48, 0, 62, 0, -32, 0, -24, 0, 32, 0, -76, 0, 76, 0, 54, 0, 116, 0, 16, 0, -21, 0, 54, 0, 110, 0, -8, 0, 56, 0, 92, 0, 74, 0, -64, 0, 178, 0, -26, 0, -72, 0, 64, 0, -152, 0, -34, 0, -104, 0, 62, 0, -160, 0, -96, 0, 2, 0, -26, 0, 176, 0, -26, 0, -16, 0, 12, 0, 48, 0, 63, 0, 48, 0, 52, 0, 128, 0, 56, 0, -176, 0, -26, 0, -180, 0, -26, 0, 96, 0, 16, 0, 82, 0, -16, 0, 44, 0, -10, 0, -200, 0, 94, 0, -44, 0, -26, 0, -244, 0, -96, 0, 12, 0, 56, 0, -120, 0, 46, 0, -26, 0, 94, 0, 24, 0, 8, 0, -146, 0, -36, 0, 96, 0, -68, 0, 52, 0, -128, 0, 56, 0, -76, 0, 138, 0, -34, 0, 88, 0, -40, 0, -112, 0, -58, 0, 80, 0, -8, 0, 16, 0, 52, 0, 16, 0, -8, 0, -184, 0, 26, 0, 232, 0, -89, 0, 128, 0, -42, 0, -104, 0, 16, 0, -50, 0, -112, 0, -100, 0, 36, 0, 192, 0, 48, 0, -48, 0, -48, 0, 168, 0, -98, 0, -24, 0, 6, 0, 80, 0, -116, 0, 88, 0, -90, 0, -30, 0, -42, 0, 190, 0, 104, 0, -148, 0, -72, 0, -170, 0, 100, 0, -32, 0, -48, 0, -248, 0, 116, 0, -80, 0, -42, 0, 124, 0, 102, 0, -96, 0, -16, 0, 50, 0, -58, 0, 34, 0, -48, 0, 80, 0, -40, 0, -272, 0, -54, 0, -158, 0, 16, 0, 24, 0, -6, 0, 50, 0, 38, 0, 16, 0, 52, 0, -60, 0, -83, 0, 36, 0, -182, 0, -260, 0, 112, 0, 30, 0, -54, 0, -120, 0, 78, 0, -70, 0, -152, 0, -66, 0, -36, 0, -186, 0, 64, 0, 120, 0, 78, 0, 272, 0, 26, 0, 104, 0, 126, 0, 84, 0, 32, 0, 18, 0, 64, 0, -136, 0, 128, 0, 24, 0, 24, 0, -34, 0, -84, 0, 16, 0, -4, 0, -100, 0, 74, 0, 204, 0, 80, 0, 208, 0, 24, 0, -108, 0, 24, 0, -54, 0, -30, 0, -24, 0, -42, 0, 196, 0, -108, 0, 136, 0, 54, 0, 264, 0, 94, 0, -16, 0, -72, 0, 58, 0, 56, 0, -4, 0, 142, 0, -48, 0, 16, 0, 176, 0, -69, 0, -112, 0, 92, 0, -82, 0, -112, 0, -36, 0, 152, 0, -198, 0, -74, 0, -64, 0, 78, 0, 124, 0, -60, 0, -100, 0, 0, 0, -16, 0, 104, 0, -64, 0, -30, 0, 184, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 46446152
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 36028797052518768, 'source_is_minimal': False, 'source_label': '368.2.a.i.1.2', 'source_level': 368, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 36028797052518768, 'target_is_minimal': False, 'target_label': '368.2.a.i.1.2', 'target_level': 368, 'twist_class_label': '184.2.a.e.1.1', 'twist_class_level': 184, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 46446153
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 36028797052518768, 'source_is_minimal': False, 'source_label': '368.2.a.i.1.2', 'source_level': 368, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 85568392953597168, 'target_is_minimal': False, 'target_label': '3312.2.a.t.1.2', 'target_level': 3312, 'twist_class_label': '184.2.a.e.1.1', 'twist_class_level': 184, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 46446154
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 36028797052518768, 'source_is_minimal': False, 'source_label': '368.2.a.i.1.2', 'source_level': 368, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398543036600, 'target_is_minimal': True, 'target_label': '184.2.a.e.1.1', 'target_level': 184, 'twist_class_label': '184.2.a.e.1.1', 'twist_class_level': 184, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46446155
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 36028797052518768, 'source_is_minimal': False, 'source_label': '368.2.a.i.1.2', 'source_level': 368, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 193654784010494960, 'target_is_minimal': False, 'target_label': '9200.2.a.br.1.1', 'target_level': 9200, 'twist_class_label': '184.2.a.e.1.1', 'twist_class_level': 184, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 46446156
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 36028797052518768, 'source_is_minimal': False, 'source_label': '368.2.a.i.1.2', 'source_level': 368, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 90071992580965824, 'target_is_minimal': False, 'target_label': '1472.2.a.u.1.2', 'target_level': 1472, 'twist_class_label': '184.2.a.e.1.1', 'twist_class_level': 184, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46446157
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 36028797052518768, 'source_is_minimal': False, 'source_label': '368.2.a.i.1.2', 'source_level': 368, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67553994444113344, 'target_is_minimal': False, 'target_label': '1472.2.a.p.1.1', 'target_level': 1472, 'twist_class_label': '184.2.a.e.1.1', 'twist_class_level': 184, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 46446158
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 36028797052518768, 'source_is_minimal': False, 'source_label': '368.2.a.i.1.2', 'source_level': 368, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532396679890552, 'target_is_minimal': False, 'target_label': '1656.2.a.j.1.1', 'target_level': 1656, 'twist_class_label': '184.2.a.e.1.1', 'twist_class_level': 184, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 46446159
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 36028797052518768, 'source_is_minimal': False, 'source_label': '368.2.a.i.1.2', 'source_level': 368, 'target_conrey_index': 4049, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 63050669694652920, 'target_is_minimal': False, 'target_label': '4600.2.e.o.4049.1', 'target_level': 4600, 'twist_class_label': '184.2.a.e.1.1', 'twist_class_level': 184, 'twisting_char_label': '20.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46446160
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 36028797052518768, 'source_is_minimal': False, 'source_label': '368.2.a.i.1.2', 'source_level': 368, 'target_conrey_index': 4049, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 63050669694652920, 'target_is_minimal': False, 'target_label': '4600.2.e.o.4049.4', 'target_level': 4600, 'twist_class_label': '184.2.a.e.1.1', 'twist_class_level': 184, 'twisting_char_label': '20.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 46446161
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 36028797052518768, 'source_is_minimal': False, 'source_label': '368.2.a.i.1.2', 'source_level': 368, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 81064793326227960, 'target_is_minimal': False, 'target_label': '4600.2.a.s.1.2', 'target_level': 4600, 'twist_class_label': '184.2.a.e.1.1', 'twist_class_level': 184, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 46446162
    {'conductor': 23, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 36028797052518768, 'source_is_minimal': False, 'source_label': '368.2.a.i.1.2', 'source_level': 368, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 130604389227307280, 'target_is_minimal': False, 'target_label': '8464.2.a.bd.1.2', 'target_level': 8464, 'twist_class_label': '184.2.a.e.1.1', 'twist_class_level': 184, 'twisting_char_label': '23.22', 'twisting_conrey_index': 22, 'weight': 2}
  • id: 46446163
    {'conductor': 28, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 36028797052518768, 'source_is_minimal': False, 'source_label': '368.2.a.i.1.2', 'source_level': 368, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 99079191835714360, 'target_is_minimal': False, 'target_label': '9016.2.a.w.1.2', 'target_level': 9016, 'twist_class_label': '184.2.a.e.1.1', 'twist_class_level': 184, 'twisting_char_label': '28.27', 'twisting_conrey_index': 27, 'weight': 2}
  • id: 46446164
    {'conductor': 92, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 36028797052518768, 'source_is_minimal': False, 'source_label': '368.2.a.i.1.2', 'source_level': 368, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 63050394816745608, 'target_is_minimal': False, 'target_label': '4232.2.a.o.1.1', 'target_level': 4232, 'twist_class_label': '184.2.a.e.1.1', 'twist_class_level': 184, 'twisting_char_label': '92.91', 'twisting_conrey_index': 91, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 784550
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 36028797052518768, 'p': 2}
  • id: 784551
    {'charpoly_factorization': [[[-4, -1, 1], 1]], 'hecke_orbit_code': 36028797052518768, 'p': 3}
  • id: 784552
    {'charpoly_factorization': [[[-2, 1], 2]], 'hecke_orbit_code': 36028797052518768, 'p': 5}
  • id: 784553
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 36028797052518768, 'p': 7}
  • id: 784554
    {'charpoly_factorization': [[[-16, 2, 1], 1]], 'hecke_orbit_code': 36028797052518768, 'p': 11}
  • id: 784555
    {'charpoly_factorization': [[[2, -5, 1], 1]], 'hecke_orbit_code': 36028797052518768, 'p': 13}
  • id: 784556
    {'charpoly_factorization': [[[-16, -2, 1], 1]], 'hecke_orbit_code': 36028797052518768, 'p': 17}
  • id: 784557
    {'charpoly_factorization': [[[-16, 2, 1], 1]], 'hecke_orbit_code': 36028797052518768, 'p': 19}
  • id: 784558
    {'charpoly_factorization': [[[-1, 1], 2]], 'hecke_orbit_code': 36028797052518768, 'p': 23}
  • id: 784559
    {'charpoly_factorization': [[[-2, -3, 1], 1]], 'hecke_orbit_code': 36028797052518768, 'p': 29}
  • id: 784560
    {'charpoly_factorization': [[[16, -9, 1], 1]], 'hecke_orbit_code': 36028797052518768, 'p': 31}
  • id: 784561
    {'charpoly_factorization': [[[-68, 0, 1], 1]], 'hecke_orbit_code': 36028797052518768, 'p': 37}
  • id: 784562
    {'charpoly_factorization': [[[-106, -1, 1], 1]], 'hecke_orbit_code': 36028797052518768, 'p': 41}
  • id: 784563
    {'charpoly_factorization': [[[-8, 1], 2]], 'hecke_orbit_code': 36028797052518768, 'p': 43}
  • id: 784564
    {'charpoly_factorization': [[[-8, 11, 1], 1]], 'hecke_orbit_code': 36028797052518768, 'p': 47}
  • id: 784565
    {'charpoly_factorization': [[[-2, 1], 2]], 'hecke_orbit_code': 36028797052518768, 'p': 53}
  • id: 784566
    {'charpoly_factorization': [[[-64, 4, 1], 1]], 'hecke_orbit_code': 36028797052518768, 'p': 59}
  • id: 784567
    {'charpoly_factorization': [[[-52, -8, 1], 1]], 'hecke_orbit_code': 36028797052518768, 'p': 61}
  • id: 784568
    {'charpoly_factorization': [[[-16, -2, 1], 1]], 'hecke_orbit_code': 36028797052518768, 'p': 67}
  • id: 784569
    {'charpoly_factorization': [[[128, 23, 1], 1]], 'hecke_orbit_code': 36028797052518768, 'p': 71}
  • id: 784570
    {'charpoly_factorization': [[[34, 17, 1], 1]], 'hecke_orbit_code': 36028797052518768, 'p': 73}
  • id: 784571
    {'charpoly_factorization': [[[-16, -2, 1], 1]], 'hecke_orbit_code': 36028797052518768, 'p': 79}
  • id: 784572
    {'charpoly_factorization': [[[-32, 12, 1], 1]], 'hecke_orbit_code': 36028797052518768, 'p': 83}
  • id: 784573
    {'charpoly_factorization': [[[-152, 2, 1], 1]], 'hecke_orbit_code': 36028797052518768, 'p': 89}
  • id: 784574
    {'charpoly_factorization': [[[-152, 2, 1], 1]], 'hecke_orbit_code': 36028797052518768, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 1, 'hecke_orbit': 9, 'label': '368.2.a.i', 'level': 368, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 50288305
    {'hecke_orbit_code': 36028797052518768, 'n': 1, 'trace_an': 2}
  • id: 50288306
    {'hecke_orbit_code': 36028797052518768, 'n': 2, 'trace_an': 0}
  • id: 50288307
    {'hecke_orbit_code': 36028797052518768, 'n': 3, 'trace_an': 1}
  • id: 50288308
    {'hecke_orbit_code': 36028797052518768, 'n': 4, 'trace_an': 0}
  • id: 50288309
    {'hecke_orbit_code': 36028797052518768, 'n': 5, 'trace_an': 4}
  • id: 50288310
    {'hecke_orbit_code': 36028797052518768, 'n': 6, 'trace_an': 0}
  • id: 50288311
    {'hecke_orbit_code': 36028797052518768, 'n': 7, 'trace_an': 0}
  • id: 50288312
    {'hecke_orbit_code': 36028797052518768, 'n': 8, 'trace_an': 0}
  • id: 50288313
    {'hecke_orbit_code': 36028797052518768, 'n': 9, 'trace_an': 3}
  • id: 50288314
    {'hecke_orbit_code': 36028797052518768, 'n': 10, 'trace_an': 0}
  • id: 50288315
    {'hecke_orbit_code': 36028797052518768, 'n': 11, 'trace_an': -2}
  • id: 50288316
    {'hecke_orbit_code': 36028797052518768, 'n': 12, 'trace_an': 0}
  • id: 50288317
    {'hecke_orbit_code': 36028797052518768, 'n': 13, 'trace_an': 5}
  • id: 50288318
    {'hecke_orbit_code': 36028797052518768, 'n': 14, 'trace_an': 0}
  • id: 50288319
    {'hecke_orbit_code': 36028797052518768, 'n': 15, 'trace_an': 2}
  • id: 50288320
    {'hecke_orbit_code': 36028797052518768, 'n': 16, 'trace_an': 0}
  • id: 50288321
    {'hecke_orbit_code': 36028797052518768, 'n': 17, 'trace_an': 2}
  • id: 50288322
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  • id: 50288323
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  • id: 50288324
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  • id: 50288325
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  • id: 50288326
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  • id: 50288327
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  • id: 50288328
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  • id: 50288329
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  • id: 50288330
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  • id: 50288331
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  • id: 50288332
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  • id: 50288333
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  • id: 50288334
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  • id: 50288335
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  • id: 50288336
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  • id: 50288337
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  • id: 50288338
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  • id: 50288339
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  • id: 50288340
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  • id: 50288341
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  • id: 50288342
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  • id: 50288343
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  • id: 50288344
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  • id: 50288345
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  • id: 50288346
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  • id: 50288347
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  • id: 50288348
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  • id: 50288349
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  • id: 50288350
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  • id: 50288351
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  • id: 50288352
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  • id: 50288353
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  • id: 50288354
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  • id: 50288355
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  • id: 50288356
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  • id: 50288357
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  • id: 50288358
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  • id: 50288359
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  • id: 50288360
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  • id: 50288361
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  • id: 50288362
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  • id: 50288363
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  • id: 50288364
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  • id: 50288365
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  • id: 50288366
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  • id: 50288367
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  • id: 50288368
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  • id: 50288369
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  • id: 50288370
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  • id: 50288371
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  • id: 50288372
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  • id: 50288373
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  • id: 50288374
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  • id: 50288375
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  • id: 50288376
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  • id: 50288377
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  • id: 50288378
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  • id: 50288379
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  • id: 50288380
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  • id: 50288381
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  • id: 50288382
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  • id: 50288383
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  • id: 50288384
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  • id: 50288385
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  • id: 50288386
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  • id: 50288387
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  • id: 50288388
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  • id: 50288389
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  • id: 50288390
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  • id: 50288391
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  • id: 50288392
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  • id: 50288393
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  • id: 50288394
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  • id: 50288395
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  • id: 50288396
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  • id: 50288397
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  • id: 50288398
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  • id: 50288399
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  • id: 50288400
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  • id: 50288401
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  • id: 50288402
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  • id: 50288403
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  • id: 50288404
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  • id: 50288405
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  • id: 50288406
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  • id: 50288407
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  • id: 50288408
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  • id: 50288409
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  • id: 50288410
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  • id: 50288411
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  • id: 50288412
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  • id: 50288413
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  • id: 50288414
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  • id: 50288415
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  • id: 50288416
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  • id: 50288417
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  • id: 50288418
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  • id: 50288419
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  • id: 50288420
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  • id: 50288421
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  • id: 50288422
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  • id: 50288423
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  • id: 50288424
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  • id: 50288425
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  • id: 50288426
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  • id: 50288427
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  • id: 50288428
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  • id: 50288429
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  • id: 50288430
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  • id: 50288431
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  • id: 50288432
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  • id: 50288433
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  • id: 50288434
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  • id: 50288435
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  • id: 50288436
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  • id: 50288437
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  • id: 50288438
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  • id: 50288439
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  • id: 50288440
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  • id: 50288441
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  • id: 50288442
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  • id: 50288443
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  • id: 50288444
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  • id: 50288445
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  • id: 50288446
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  • id: 50288447
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  • id: 50288448
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  • id: 50288449
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  • id: 50288450
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  • id: 50288451
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  • id: 50288452
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  • id: 50288453
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  • id: 50288454
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  • id: 50288455
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  • id: 50288456
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  • id: 50288457
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  • id: 50288458
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  • id: 50288459
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  • id: 50288460
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  • id: 50288461
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  • id: 50288462
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  • id: 50288463
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  • id: 50288464
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  • id: 50288465
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  • id: 50288466
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  • id: 50288467
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  • id: 50288468
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  • id: 50288469
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  • id: 50288470
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  • id: 50288471
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  • id: 50288472
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  • id: 50288473
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  • id: 50288474
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  • id: 50288475
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  • id: 50288476
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  • id: 50288477
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  • id: 50288478
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  • id: 50288479
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  • id: 50288480
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  • id: 50288481
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  • id: 50288482
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  • id: 50288483
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  • id: 50288484
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  • id: 50288485
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  • id: 50288486
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  • id: 50288487
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  • id: 50288488
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  • id: 50288489
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  • id: 50288490
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  • id: 50288491
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  • id: 50288492
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  • id: 50288493
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  • id: 50288494
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  • id: 50288495
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  • id: 50288496
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  • id: 50288497
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  • id: 50288498
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  • id: 50288499
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  • id: 50288500
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  • id: 50288501
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  • id: 50288502
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  • id: 50288503
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  • id: 50288504
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  • id: 50288505
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  • id: 50288506
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  • id: 50288507
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  • id: 50288508
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  • id: 50288509
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  • id: 50288510
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  • id: 50288511
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  • id: 50288512
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  • id: 50288513
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  • id: 50288514
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  • id: 50288515
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  • id: 50288516
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  • id: 50288517
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  • id: 50288518
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  • id: 50288519
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  • id: 50288520
    {'hecke_orbit_code': 36028797052518768, 'n': 727, 'trace_an': 54}
  • id: 50288521
    {'hecke_orbit_code': 36028797052518768, 'n': 729, 'trace_an': -6}
  • id: 50288522
    {'hecke_orbit_code': 36028797052518768, 'n': 733, 'trace_an': 74}
  • id: 50288523
    {'hecke_orbit_code': 36028797052518768, 'n': 739, 'trace_an': -13}
  • id: 50288524
    {'hecke_orbit_code': 36028797052518768, 'n': 743, 'trace_an': -52}
  • id: 50288525
    {'hecke_orbit_code': 36028797052518768, 'n': 751, 'trace_an': -16}
  • id: 50288526
    {'hecke_orbit_code': 36028797052518768, 'n': 757, 'trace_an': -36}
  • id: 50288527
    {'hecke_orbit_code': 36028797052518768, 'n': 761, 'trace_an': -49}
  • id: 50288528
    {'hecke_orbit_code': 36028797052518768, 'n': 769, 'trace_an': -12}
  • id: 50288529
    {'hecke_orbit_code': 36028797052518768, 'n': 773, 'trace_an': 30}
  • id: 50288530
    {'hecke_orbit_code': 36028797052518768, 'n': 787, 'trace_an': 36}
  • id: 50288531
    {'hecke_orbit_code': 36028797052518768, 'n': 797, 'trace_an': 8}
  • id: 50288532
    {'hecke_orbit_code': 36028797052518768, 'n': 809, 'trace_an': 52}
  • id: 50288533
    {'hecke_orbit_code': 36028797052518768, 'n': 811, 'trace_an': -39}
  • id: 50288534
    {'hecke_orbit_code': 36028797052518768, 'n': 821, 'trace_an': 0}
  • id: 50288535
    {'hecke_orbit_code': 36028797052518768, 'n': 823, 'trace_an': -103}
  • id: 50288536
    {'hecke_orbit_code': 36028797052518768, 'n': 827, 'trace_an': 24}
  • id: 50288537
    {'hecke_orbit_code': 36028797052518768, 'n': 829, 'trace_an': -24}
  • id: 50288538
    {'hecke_orbit_code': 36028797052518768, 'n': 839, 'trace_an': -84}
  • id: 50288539
    {'hecke_orbit_code': 36028797052518768, 'n': 841, 'trace_an': -45}
  • id: 50288540
    {'hecke_orbit_code': 36028797052518768, 'n': 853, 'trace_an': -4}
  • id: 50288541
    {'hecke_orbit_code': 36028797052518768, 'n': 857, 'trace_an': 29}
  • id: 50288542
    {'hecke_orbit_code': 36028797052518768, 'n': 859, 'trace_an': -71}
  • id: 50288543
    {'hecke_orbit_code': 36028797052518768, 'n': 863, 'trace_an': -29}
  • id: 50288544
    {'hecke_orbit_code': 36028797052518768, 'n': 877, 'trace_an': -4}
  • id: 50288545
    {'hecke_orbit_code': 36028797052518768, 'n': 881, 'trace_an': 18}
  • id: 50288546
    {'hecke_orbit_code': 36028797052518768, 'n': 883, 'trace_an': -8}
  • id: 50288547
    {'hecke_orbit_code': 36028797052518768, 'n': 887, 'trace_an': -27}
  • id: 50288548
    {'hecke_orbit_code': 36028797052518768, 'n': 907, 'trace_an': -94}
  • id: 50288549
    {'hecke_orbit_code': 36028797052518768, 'n': 911, 'trace_an': 66}
  • id: 50288550
    {'hecke_orbit_code': 36028797052518768, 'n': 919, 'trace_an': -92}
  • id: 50288551
    {'hecke_orbit_code': 36028797052518768, 'n': 929, 'trace_an': 49}
  • id: 50288552
    {'hecke_orbit_code': 36028797052518768, 'n': 937, 'trace_an': 48}
  • id: 50288553
    {'hecke_orbit_code': 36028797052518768, 'n': 941, 'trace_an': 70}
  • id: 50288554
    {'hecke_orbit_code': 36028797052518768, 'n': 947, 'trace_an': 1}
  • id: 50288555
    {'hecke_orbit_code': 36028797052518768, 'n': 953, 'trace_an': 72}
  • id: 50288556
    {'hecke_orbit_code': 36028797052518768, 'n': 961, 'trace_an': -13}
  • id: 50288557
    {'hecke_orbit_code': 36028797052518768, 'n': 967, 'trace_an': -33}
  • id: 50288558
    {'hecke_orbit_code': 36028797052518768, 'n': 971, 'trace_an': -38}
  • id: 50288559
    {'hecke_orbit_code': 36028797052518768, 'n': 977, 'trace_an': -32}
  • id: 50288560
    {'hecke_orbit_code': 36028797052518768, 'n': 983, 'trace_an': 30}
  • id: 50288561
    {'hecke_orbit_code': 36028797052518768, 'n': 991, 'trace_an': 48}
  • id: 50288562
    {'hecke_orbit_code': 36028797052518768, 'n': 997, 'trace_an': 28}