Embedded newform data - 1140.2.bg.a.49.1

Formats: - HTML - YAML - JSON - 2026-09-22T16:37:32.691318

• 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': 4560, 'analytic_conductor': 9.102945830425965, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 95, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 33, 'char_orbit_label': 'bg', 'char_order': 6, 'char_parity': 1, 'char_values': [1140, 6, [571, 761, 457, 781], [6, 6, 3, 4]], 'cm_discs': [], 'conrey_index': 49, 'dim': 4, 'field_disc': 144, 'field_disc_factorization': [[2, 4], [3, 2]], 'field_poly': [1, 0, -1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 12, 'has_non_self_twist': 1, 'hecke_cutters': [[7, [0, 1]], [11, [4, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 2199056811124, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 2, 1, 2, 0], [1, 1, 95, 9, 1, 6, 0], [1, 1, 19, 3, 1, 3, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '1140.2.bg.a', 'level': 1140, '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, 3, 5, 19], 'level_radical': 570, 'minimal_twist': '1140.2.bg.a', 'nf_label': '4.0.144.1', 'prim_orbit_index': 9, 'qexp_display': 'q+(-\\zeta_{12}+\\zeta_{12}^{3})q^{3}+(-\\zeta_{12}-2\\zeta_{12}^{2}+\\cdots)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1140.2.bg', 'trace_display': [0, 0, -4, 0], 'trace_hash': 641869222590114119, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.031', 'prec': 7}, {'__RealLiteral__': 0, 'data': '4.170', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '105.181', 'prec': 20}, 0, {'__RealLiteral__': 0, 'data': '3906.612', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.518', 'prec': 10}, 'traces': [4, 0, 0, 0, -4, 0, 0, 0, 2, 0, -16, 0, 0, 0, 2, 0, 0, 0, -14, 0, 0, 0, 0, 0, -6, 0, 0, 0, -16, 0, 36, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, -8, 0, 0, 0, 28, 0, -6, 0, 0, 0, 16, 0, 0, 0, 16, 0, -12, 0, 0, 0, -16, 0, 0, 0, 0, 0, -12, 0, 0, 0, -16, 0, 0, 0, -16, 0, -2, 0, 0, 0, -6, 0, 0, 0, -4, 0, 0, 0, 0, 0, -4, 0, 0, 0, -8, 0, 12, 0, 0, 0, 0, 0, 0, 0, 26, 0, -20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 8, 0, 0, 0, 0, 0, -20, 0, 0, 0, -2, 0, 0, 0, 18, 0, 12, 0, 0, 0, 64, 0, 0, 0, -24, 0, 76, 0, 0, 0, -36, 0, 0, 0, -44, 0, 0, 0, 0, 0, -8, 0, 0, 0, 6, 0, -16, 0, 0, 0, 0, 0, 0, 0, -72, 0, -10, 0, 0, 0, -20, 0, 0, 0, 0, 0, 24, 0, 0, 0, 16, 0, 0, 0, 16, 0, -32, 0, 0, 0, 0, 0, 0, 0, 56, 0, -2, 0, 0, 0, 0, 0, 0, 0, 20, 0, 48, 0, 0, 0, 6, 0, 0, 0, 52, 0, 0, 0, 0, 0, 12, 0, 0, 0, 32, 0, 2, 0, 0, 0, -28, 0, 0, 0, -30, 0, -48, 0, 0, 0, 24, 0, 0, 0, 0, 0, 16, 0, 0, 0, -44, 0, 0, 0, 44, 0, -22, 0, 0, 0, 24, 0, 0, 0, 18, 0, 36, 0, 0, 0, -16, 0, 0, 0, -16, 0, -20, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 10, 0, 0, 0, 32, 0, 0, 0, 0, 0, 80, 0, 0, 0, -32, 0, 0, 0, -22, 0, -144, 0, 0, 0, 0, 0, 0, 0, -100, 0, -8, 0, 0, 0, -24, 0, 0, 0, 20, 0, 22, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 22, 0, 0, 0, 48, 0, 88, 0, 0, 0, 0, 0, 0, 0, -44, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, -68, 0, 0, 0, -4, 0, 0, 0, -44, 0, -60, 0, 0, 0, -30, 0, 0, 0, 112, 0, -68, 0, 0, 0, 48, 0, 0, 0, 64, 0, -12, 0, 0, 0, 16, 0, 0, 0, 14, 0, 14, 0, 0, 0, 16, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 48, 0, 0, 0, 18, 0, 0, 0, 0, 0, -24, 0, 0, 0, 48, 0, 0, 0, -56, 0, -80, 0, 0, 0, -20, 0, 0, 0, -28, 0, 12, 0, 0, 0, 32, 0, 0, 0, 10, 0, 60, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, -20, 0, -96, 0, 0, 0, 0, 0, 0, 0, -46, 0, 32, 0, 0, 0, 10, 0, 0, 0, -112, 0, -58, 0, 0, 0, 52, 0, 0, 0, 12, 0, 128, 0, 0, 0, -40, 0, 0, 0, 0, 0, 24, 0, 0, 0, -22, 0, 0, 0, 112, 0, -116, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, -8, 0, 0, 0, -126, 0, 46, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, -20, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, -140, 0, 0, 0, 0, 0, 14, 0, 0, 0, 60, 0, -2, 0, 0, 0, 88, 0, 0, 0, -24, 0, 12, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, -40, 0, 0, 0, 20, 0, -2, 0, 0, 0, 0, 0, 0, 0, -20, 0, 48, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, 88, 0, -76, 0, 0, 0, -72, 0, 0, 0, 38, 0, 20, 0, 0, 0, -12, 0, 0, 0, 86, 0, -32, 0, 0, 0, 64, 0, 0, 0, 84, 0, 0, 0, 0, 0, -48, 0, 0, 0, -4, 0, 0, 0, 0, 0, 14, 0, 0, 0, -86, 0, 56, 0, 0, 0, -48, 0, 0, 0, 0, 0, -38, 0, 0, 0, -76, 0, 0, 0, 0, 0, 120, 0, 0, 0, 6, 0, 0, 0, -86, 0, -88, 0, 0, 0, -54, 0, 0, 0, 0, 0, 48, 0, 0, 0, -24, 0, 0, 0, 22, 0, 0, 0, 0, 0, 44, 0, 0, 0, -36, 0, 4, 0, 0, 0, 0, 0, 0, 0, 112, 0, 38, 0, 0, 0, -28, 0, 0, 0, 0, 0, 68, 0, 0, 0, 64, 0, 0, 0, -20, 0, 20, 0, 0, 0, 60, 0, 0, 0, 40, 0, -70, 0, 0, 0, 12, 0, 0, 0, 52, 0, 0, 0, 0, 0, 28, 0, 0, 0, 46, 0, 0, 0, 0, 0, -20, 0, 0, 0, 64, 0, 64, 0, 0, 0, 0, 0, 0, 0, 50, 0, -216, 0, 0, 0, 32, 0, 0, 0, 0, 0, 8, 0, 0, 0, 72, 0, 0, 0, -144, 0, 132, 0, 0, 0, 40, 0, 0, 0, -12, 0, 24, 0, 0, 0, 12, 0, 0, 0, -100, 0, 36, 0, 0, 0, -80, 0, 0, 0, -24, 0, -98, 0, 0, 0, 24, 0, 0, 0, 16, 0, 52, 0, 0, 0, 0, 0, 0, 0, -160, 0, 60, 0, 0, 0, -24, 0, 0, 0, 0, 0, 200, 0, 0, 0, 20, 0, 0, 0, 48, 0, 80, 0, 0, 0, 24, 0, 0, 0, 16, 0, 52, 0, 0, 0, 46, 0, 0, 0, 0, 0, -90, 0, 0, 0, -64, 0, 0, 0, -40, 0, 0, 0, 0, 0, 32, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, -110, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 110, 0, 10, 0, 0, 0, 16, 0, 0, 0, 40, 0, 88, 0, 0, 0, -4, 0, 0, 0, -20, 0, -120, 0, 0, 0, -24, 0, 0, 0, -50, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10, 0, 176, 0, 0, 0, -80, 0, 0, 0, 0, 0, -120, 0, 0, 0, -48, 0, 0, 0, 48, 0, -48, 0, 0, 0, -20, 0, 0, 0, 0, 0, 16, 0, 0, 0, 4, 0, 0, 0, 60, 0, 64, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, -52, 0, 0, 0, 42, 0, -24, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 38, 0, 0, 0, 0, 0, 116, 0, 0, 0, -24, 0, 0, 0, -40, 0, 48, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, -104, 0, -90, 0, 0, 0, -8, 0, 0, 0, -144, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 80, 0, 0, 0, -42, 0, 0, 0, 108, 0, -72, 0, 0, 0, 56, 0, 0, 0, 0, 0, -60, 0, 0, 0, -60, 0, 0, 0, 78, 0, -18, 0, 0, 0, 192, 0, 0, 0, 60, 0, 160, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, -18, 0, 0, 0, 66, 0, 0, 0, 0, 0, -88, 0, 0, 0, -84, 0, -100, 0, 0, 0, 0, 0, 0, 0, 0, 0, 108, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 22, 0, 0, 0, 104, 0, -100, 0, 0, 0, 88, 0, 0, 0, -60, 0, 96, 0, 0, 0, 4, 0, 0, 0, -160, 0, -48, 0, 0, 0, 88, 0, 0, 0, -12, 0, 0, 0, 0, 0, -44, 0, 0, 0, 38, 0, -240, 0, 0, 0, 0, 0, 0, 0, -252, 0, 44, 0, 0, 0, -32, 0, 0, 0, 0, 0, 92, 0, 0, 0, 20, 0, 0, 0, -20, 0, 40, 0, 0, 0, -72, 0, 0, 0, 220, 0, -30, 0, 0, 0, -144, 0, 0, 0, -44, 0, 90, 0, 0, 0, 52, 0, 0, 0, 0, 0, -112, 0, 0, 0, 56, 0, 0, 0, 20, 0, -22, 0, 0, 0, 0, 0, 0, 0, 32, 0, 80, 0, 0, 0, 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• 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], [-0.5, -0.28867513459481287], [0.0, 0.0], [-0.8345119301206996, 0.5509898714915044], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.16666666666666666, 0.28867513459481287], [0.0, 0.0], [-1.2060453783110545, 0.0], [0.0, 0.0], [0.9607689228305228, -0.5547001962252291], [0.0, 0.0], [0.5763130403735385, -0.034592091997182155], [0.0, 0.0], [0.6301260378126045, 0.36380343755449945], [0.0, 0.0], [-0.8029550685469662, 0.5960395606792697], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.39282032302755093, -0.9196152422706632], [0.0, 0.0], [0.0, -0.19245008972987526], [0.0, 0.0], [-0.7427813527082074, -1.2865350418053538], [0.0, 0.0], [1.616447718240974, 0.0], [0.0, 0.0], [0.6030226891555273, 0.3481553119113957], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.643989873053573], [0.0, 0.0], [-0.6405126152203485, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.29814239699997197, -0.14907119849998599], [0.0, 0.0], [-0.37896836447993354, 0.21879748724684184], [0.0, 0.0], [1.0, 0.0], [0.0, 0.0], [-0.21004201260420147, -0.36380343755449945], [0.0, 0.0], [1.3085351164349377, -0.7554831017177897], [0.0, 0.0], [1.0064592564675074, -0.6645187880085307], [0.0, 0.0], [0.5735393346764044, -0.06622661785325219], [0.0, 0.0], [0.5207556439232954, -0.9019752336033946], [0.0, 0.0], [-0.3841106397986879, -0.6652991438591156], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.4961389383568338, 0.9922778767136676], [0.0, 0.0], [0.8464147390303179, -0.4886777774252209], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.356034497458156, 0.6166698388447784], [0.0, 0.0], [-1.0136060675992289, -0.5852057359806528], [0.0, 0.0], [-0.4618802153517006, 0.34641016151377546], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.4500351603704096, 0.779483762953957], [0.0, 0.0], [-0.05555555555555555, 0.09622504486493763], [0.0, 0.0], [0.0, -1.6464638998453551], [0.0, 0.0], [-0.7262997053406267, 0.043594755739666986], [0.0, 0.0], [0.0, 0.8576900278702358], [0.0, 0.0], [-0.105999788000636, -0.18359701840863138], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.808223859120487, -0.4666282626286914], [0.0, 0.0], [0.34166382311080384, -0.9398222342428962], [0.0, 0.0], [0.8793155726408237, 0.5076730825668095], [0.0, 0.0], [-0.20100756305184242, -0.3481553119113957], [0.0, 0.0]], 'angles': [None, None, None, 0.0, -0.3530185831501773, -0.2397498124278339, -0.10740565903596057, None, -0.3333333333333333, -0.45008642715054803, -0.1002145586849649, -0.34643056653874504, -0.4166666666666667, -0.16666666666666666, -0.36844003738411735, -0.19703444430124828, -0.32949179928583566, -0.1460792744110691, -0.2520730202366006, -0.474602387947734, -0.2661597934567877, -0.49096094395952744, -0.3460843183411863, -0.10023547686527517, -0.0819195587049922, -0.03508832862243836, -0.2772956383773119, 0.038849888772249416, -0.30970748815365945, -0.41345062823346773, 0.381794866455994, -0.4886199999752159, -0.22264130736861998, -0.02100528974238252, -0.4984494330080769, -0.10935277476854789, -0.08719316759454106, -0.4076409660411811, -0.4318788596228998, -0.10460406042269502, -0.36743095541311355, -0.11308097264546679, -0.21517461711558564, -0.22526260679093502, 0.1528302419864584, -0.03757682531003212, -0.4221460881325871, -0.11232810456739255, 0.0, -0.1793392525418076, -0.27358082350698515, -0.20834660603955663, -0.07820641111447421, -0.44655988508635897, -0.21298057390975347, -0.22173545199919367, -0.29966746906828146, -0.47088303348574223, 0.04856356706143428, 0.006868100832595178, -0.30723130305125573, 0.130300029068618, -0.2525214942352223, -0.25, -0.35136381541655953, -0.4025361748011882, -0.15738059742696586, -0.16666666666666666, -0.1880910246926629, -0.366662180650961, -0.45712860806504235, -0.3741638851999517, -0.19017918845793258, 0.0, -0.2001368186171095, -0.2567983002450786, -0.48917107107960617, -0.16666666666666666, 0.24471252483343028, -0.49180402980785, -0.1301314593959344, 0.23874432512275248, -0.1064128082944167, -0.3333333333333333, -0.38995526439356504, -0.27534630039214597, -0.2197746971721295, 0.08602204303544694, -0.3222792674030781, -0.4626760374749521, -0.4435902451842568, -0.4728675325630983, 0.0668570119180778, -0.3950526036233805, -0.39881738867827565, -0.14980236785169013, -0.08333333333333333, -0.3381038024214673, -0.3123949058050978, -0.47620800461801394], 'char_orbit_index': 33, 'conrey_index': 49, 'dual_conrey_index': 349, 'dual_embedding_index': 1, 'dual_embedding_m': 3, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': -0.5, 'embedding_root_real': 0.8660254037844386, 'hecke_orbit': 1, 'hecke_orbit_code': 2199056811124, 'label': '1140.2.bg.a.49.1', 'level': 1140, '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

  
  {'Nk2': 4560, 'analytic_conductor': 9.102945830425965, 'char_conductor': 95, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 33, 'char_orbit_label': 'bg', 'char_order': 6, 'char_parity': 1, 'char_values': [1140, 6, [571, 761, 457, 781], [6, 6, 3, 4]], 'conrey_index': 49, 'cusp_dim': 456, 'dim': 40, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11], 'hecke_orbit_code': 2199056811124, 'hecke_orbit_dims': [4, 4, 32], 'label': '1140.2.bg', 'level': 1140, '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, 3, 5, 19], 'level_radical': 570, 'mf_dim': 504, 'mf_new_dim': 40, 'num_forms': 3, 'prim_orbit_index': 9, 'relative_dim': 20, 'sturm_bound': 480, 'trace_bound': 5, 'trace_display': [0, 0, -2, 0], 'traces': [40, 0, 0, 0, -2, 0, 0, 0, 20, 0, 0, 0, 0, 0, -2, 0, 0, 0, -16, 0, -4, 0, 0, 0, -12, 0, 0, 0, 8, 0, -8, 0, 0, 0, -2, 0, 0, 0, 8, 0, -4, 0, 0, 0, -4, 0, 0, 0, -32, 0, -8, 0, 0, 0, 12, 0, 0, 0, -48, 0, 0, 0, 0, 0, 4, 0, 0, 0, -40, 0, 16, 0, 0, 0, -8, 0, 0, 0, 24, 0, -20, 0, 0, 0, 48, 0, 0, 0, 32, 0, 4, 0, 0, 0, 26, 0, 0, 0, 0, 0, 24, 0, 0, 0, -22, 0, 0, 0, 48, 0, 8, 0, 0, 0, 88, 0, 0, 0, 116, 0, 80, 0, 0, 0, -68, 0, 0, 0, 20, 0, -40, 0, 0, 0, 2, 0, 0, 0, 48, 0, 48, 0, 0, 0, -72, 0, 0, 0, -12, 0, -32, 0, 0, 0, -22, 0, 0, 0, -24, 0, -4, 0, 0, 0, 4, 0, 0, 0, 24, 0, -8, 0, 0, 0, -16, 0, 0, 0, -168, 0, -36, 0, 0, 0, -38, 0, 0, 0, -8, 0, 8, 0, 0, 0, -46, 0, 0, 0, -56, 0, -40, 0, 0, 0, -28, 0, 0, 0, -140, 0, 20, 0, 0, 0, 10, 0, 0, 0, 24, 0, -40, 0, 0, 0, 12, 0, 0, 0, -136, 0, -36, 0, 0, 0, 8, 0, 0, 0, 104, 0, -92, 0, 0, 0, 4, 0, 0, 0, 0, 0, 20, 0, 0, 0, 16, 0, 0, 0, 136, 0, -8, 0, 0, 0, -72, 0, 0, 0, 24, 0, -16, 0, 0, 0, 52, 0, 0, 0, -4, 0, 72, 0, 0, 0, 30, 0, 0, 0, 16, 0, -16, 0, 0, 0, -56, 0, 0, 0, 44, 0, 44, 0, 0, 0, 52, 0, 0, 0, 24, 0, -40, 0, 0, 0, -4, 0, 0, 0, 52, 0, 24, 0, 0, 0, 64, 0, 0, 0, 12, 0, 200, 0, 0, 0, 116, 0, 0, 0, -44, 0, 80, 0, 0, 0, 24, 0, 0, 0, -160, 0, 4, 0, 0, 0, -104, 0, 0, 0, -48, 0, -48, 0, 0, 0, 82, 0, 0, 0, -8, 0, -128, 0, 0, 0, 2, 0, 0, 0, 256, 0, -40, 0, 0, 0, -136, 0, 0, 0, -180, 0, -64, 0, 0, 0, -82, 0, 0, 0, -84, 0, 36, 0, 0, 0, -2, 0, 0, 0, 124, 0, 32, 0, 0, 0, 92, 0, 0, 0, -160, 0, -108, 0, 0, 0, 216, 0, 0, 0, 56, 0, -84, 0, 0, 0, 60, 0, 0, 0, -76, 0, -16, 0, 0, 0, 168, 0, 0, 0, 96, 0, -64, 0, 0, 0, -220, 0, 0, 0, 8, 0, -188, 0, 0, 0, 42, 0, 0, 0, 228, 0, -56, 0, 0, 0, 64, 0, 0, 0, 16, 0, -60, 0, 0, 0, 4, 0, 0, 0, 48, 0, 80, 0, 0, 0, 24, 0, 0, 0, 152, 0, 200, 0, 0, 0, 8, 0, 0, 0, 4, 0, -4, 0, 0, 0, -22, 0, 0, 0, 40, 0, -240, 0, 0, 0, -72, 0, 0, 0, -188, 0, -96, 0, 0, 0, -24, 0, 0, 0, -152, 0, 36, 0, 0, 0, -104, 0, 0, 0, 0, 0, 244, 0, 0, 0, -42, 0, 0, 0, -424, 0, 104, 0, 0, 0, -80, 0, 0, 0, 376, 0, -232, 0, 0, 0, -132, 0, 0, 0, -84, 0, 216, 0, 0, 0, 2, 0, 0, 0, -256, 0, -28, 0, 0, 0, 84, 0, 0, 0, 88, 0, 48, 0, 0, 0, 70, 0, 0, 0, -16, 0, 212, 0, 0, 0, -104, 0, 0, 0, 256, 0, -20, 0, 0, 0, 36, 0, 0, 0, 0, 0, -28, 0, 0, 0, 272, 0, 0, 0, 32, 0, -148, 0, 0, 0, -36, 0, 0, 0, 164, 0, 116, 0, 0, 0, 72, 0, 0, 0, 140, 0, -56, 0, 0, 0, 254, 0, 0, 0, 28, 0, 8, 0, 0, 0, -4, 0, 0, 0, 48, 0, 4, 0, 0, 0, -152, 0, 0, 0, 272, 0, 352, 0, 0, 0, -148, 0, 0, 0, 88, 0, 92, 0, 0, 0, 52, 0, 0, 0, -28, 0, 48, 0, 0, 0, 80, 0, 0, 0, -104, 0, -56, 0, 0, 0, -96, 0, 0, 0, -40, 0, 316, 0, 0, 0, -68, 0, 0, 0, -52, 0, -12, 0, 0, 0, -12, 0, 0, 0, -296, 0, 180, 0, 0, 0, -236, 0, 0, 0, 256, 0, 568, 0, 0, 0, -48, 0, 0, 0, -220, 0, -152, 0, 0, 0, 44, 0, 0, 0, -124, 0, -100, 0, 0, 0, -86, 0, 0, 0, 32, 0, -400, 0, 0, 0, 20, 0, 0, 0, -168, 0, -32, 0, 0, 0, 56, 0, 0, 0, -72, 0, -40, 0, 0, 0, 54, 0, 0, 0, -4, 0, -104, 0, 0, 0, 0, 0, 0, 0, -368, 0, -52, 0, 0, 0, -208, 0, 0, 0, 120, 0, -8, 0, 0, 0, 152, 0, 0, 0, 180, 0, 44, 0, 0, 0, 40, 0, 0, 0, 60, 0, -112, 0, 0, 0, -176, 0, 0, 0, 192, 0, 12, 0, 0, 0, 28, 0, 0, 0, -8, 0, -408, 0, 0, 0, 72, 0, 0, 0, 128, 0, 0, 0, 0, 0, -24, 0, 0, 0, -144, 0, 136, 0, 0, 0, 208, 0, 0, 0, -24, 0, -352, 0, 0, 0, 90, 0, 0, 0, -272, 0, -44, 0, 0, 0, -96, 0, 0, 0, -80, 0, 104, 0, 0, 0, -52, 0, 0, 0, -216, 0, -180, 0, 0, 0, 22, 0, 0, 0, 536, 0, -40, 0, 0, 0, -264, 0, 0, 0, -228, 0, -304, 0, 0, 0, -202, 0, 0, 0, -48, 0, 36, 0, 0, 0, 16, 0, 0, 0, 100, 0, 96, 0, 0, 0, 128, 0, 0, 0, -328, 0, -24, 0, 0, 0, 484, 0, 0, 0, 16, 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: 24026893
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 49, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 2199056811124, 'source_is_minimal': True, 'source_label': '1140.2.bg.a.49.1', 'source_level': 1140, 'target_conrey_index': 49, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 2199056811124, 'target_is_minimal': True, 'target_label': '1140.2.bg.a.49.1', 'target_level': 1140, 'twist_class_label': '1140.2.bg.a.49.1', 'twist_class_level': 1140, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 24026894
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 49, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 2199056811124, 'source_is_minimal': True, 'source_label': '1140.2.bg.a.49.1', 'source_level': 1140, 'target_conrey_index': 1189, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4506004842614108, 'target_is_minimal': False, 'target_label': '3420.2.bj.b.1189.2', 'target_level': 3420, 'twist_class_label': '1140.2.bg.a.49.1', 'twist_class_level': 1140, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 24026895
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 49, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 2199056811124, 'source_is_minimal': True, 'source_label': '1140.2.bg.a.49.1', 'source_level': 1140, 'target_conrey_index': 49, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 2199056811124, 'target_is_minimal': True, 'target_label': '1140.2.bg.a.49.2', 'target_level': 1140, 'twist_class_label': '1140.2.bg.a.49.1', 'twist_class_level': 1140, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 24026896
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 49, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 2199056811124, 'source_is_minimal': True, 'source_label': '1140.2.bg.a.49.1', 'source_level': 1140, 'target_conrey_index': 1189, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4506004842614108, 'target_is_minimal': False, 'target_label': '3420.2.bj.b.1189.1', 'target_level': 3420, 'twist_class_label': '1140.2.bg.a.49.1', 'twist_class_level': 1140, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
  • id: 24026897
    {'conductor': 19, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 49, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 2199056811124, 'source_is_minimal': True, 'source_label': '1140.2.bg.a.49.1', 'source_level': 1140, 'target_conrey_index': 349, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 2199056811124, 'target_is_minimal': True, 'target_label': '1140.2.bg.a.349.2', 'target_level': 1140, 'twist_class_label': '1140.2.bg.a.49.1', 'twist_class_level': 1140, 'twisting_char_label': '19.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 24026898
    {'conductor': 57, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 49, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 2199056811124, 'source_is_minimal': True, 'source_label': '1140.2.bg.a.49.1', 'source_level': 1140, 'target_conrey_index': 2629, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4506004842614108, 'target_is_minimal': False, 'target_label': '3420.2.bj.b.2629.1', 'target_level': 3420, 'twist_class_label': '1140.2.bg.a.49.1', 'twist_class_level': 1140, 'twisting_char_label': '57.26', 'twisting_conrey_index': 26, 'weight': 2}
  • id: 24026899
    {'conductor': 95, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 49, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 2199056811124, 'source_is_minimal': True, 'source_label': '1140.2.bg.a.49.1', 'source_level': 1140, 'target_conrey_index': 349, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 2199056811124, 'target_is_minimal': True, 'target_label': '1140.2.bg.a.349.1', 'target_level': 1140, 'twist_class_label': '1140.2.bg.a.49.1', 'twist_class_level': 1140, 'twisting_char_label': '95.64', 'twisting_conrey_index': 64, 'weight': 2}
  • id: 24026900
    {'conductor': 285, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 49, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 2199056811124, 'source_is_minimal': True, 'source_label': '1140.2.bg.a.49.1', 'source_level': 1140, 'target_conrey_index': 2629, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4506004842614108, 'target_is_minimal': False, 'target_label': '3420.2.bj.b.2629.2', 'target_level': 3420, 'twist_class_label': '1140.2.bg.a.49.1', 'twist_class_level': 1140, 'twisting_char_label': '285.254', 'twisting_conrey_index': 254, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1715050
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 2199056811124, 'p': 2}
  • id: 1715051
    {'charpoly_factorization': [[[1, 0, -1, 0, 1], 1]], 'hecke_orbit_code': 2199056811124, 'p': 3}
  • id: 1715052
    {'charpoly_factorization': [[[25, 20, 11, 4, 1], 1]], 'hecke_orbit_code': 2199056811124, 'p': 5}
  • id: 1715053
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 2199056811124, 'p': 7}
  • id: 1715054
    {'charpoly_factorization': [[[4, 1], 4]], 'hecke_orbit_code': 2199056811124, 'p': 11}
  • id: 1715055
    {'charpoly_factorization': [[[256, 0, -16, 0, 1], 1]], 'hecke_orbit_code': 2199056811124, 'p': 13}
  • id: 1715056
    {'charpoly_factorization': [[[81, 0, -9, 0, 1], 1]], 'hecke_orbit_code': 2199056811124, 'p': 17}
  • id: 1715057
    {'charpoly_factorization': [[[19, 7, 1], 2]], 'hecke_orbit_code': 2199056811124, 'p': 19}
  • id: 1715058
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 2199056811124, 'p': 23}
  • id: 1715059
    {'charpoly_factorization': [[[64, 8, 1], 2]], 'hecke_orbit_code': 2199056811124, 'p': 29}
  • id: 1715060
    {'charpoly_factorization': [[[-9, 1], 4]], 'hecke_orbit_code': 2199056811124, 'p': 31}
  • id: 1715061
    {'charpoly_factorization': [[[100, 0, 1], 2]], 'hecke_orbit_code': 2199056811124, 'p': 37}
  • id: 1715062
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 2199056811124, 'p': 41}
  • id: 1715063
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 2199056811124, 'p': 43}
  • id: 1715064
    {'charpoly_factorization': [[[81, 0, -9, 0, 1], 1]], 'hecke_orbit_code': 2199056811124, 'p': 47}
  • id: 1715065
    {'charpoly_factorization': [[[14641, 0, -121, 0, 1], 1]], 'hecke_orbit_code': 2199056811124, 'p': 53}
  • id: 1715066
    {'charpoly_factorization': [[[64, -8, 1], 2]], 'hecke_orbit_code': 2199056811124, 'p': 59}
  • id: 1715067
    {'charpoly_factorization': [[[36, 6, 1], 2]], 'hecke_orbit_code': 2199056811124, 'p': 61}
  • id: 1715068
    {'charpoly_factorization': [[[4096, 0, -64, 0, 1], 1]], 'hecke_orbit_code': 2199056811124, 'p': 67}
  • id: 1715069
    {'charpoly_factorization': [[[36, 6, 1], 2]], 'hecke_orbit_code': 2199056811124, 'p': 71}
  • id: 1715070
    {'charpoly_factorization': [[[10000, 0, -100, 0, 1], 1]], 'hecke_orbit_code': 2199056811124, 'p': 73}
  • id: 1715071
    {'charpoly_factorization': [[[64, 8, 1], 2]], 'hecke_orbit_code': 2199056811124, 'p': 79}
  • id: 1715072
    {'charpoly_factorization': [[[225, 0, 1], 2]], 'hecke_orbit_code': 2199056811124, 'p': 83}
  • id: 1715073
    {'charpoly_factorization': [[[4, 2, 1], 2]], 'hecke_orbit_code': 2199056811124, 'p': 89}
  • id: 1715074
    {'charpoly_factorization': [[[10000, 0, -100, 0, 1], 1]], 'hecke_orbit_code': 2199056811124, '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': 33, 'hecke_orbit': 1, 'label': '1140.2.bg.a', 'level': 1140, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 14219478
    {'hecke_orbit_code': 2199056811124, 'n': 1, 'trace_an': 4}
  • id: 14219479
    {'hecke_orbit_code': 2199056811124, 'n': 2, 'trace_an': 0}
  • id: 14219480
    {'hecke_orbit_code': 2199056811124, 'n': 3, 'trace_an': 0}
  • id: 14219481
    {'hecke_orbit_code': 2199056811124, 'n': 4, 'trace_an': 0}
  • id: 14219482
    {'hecke_orbit_code': 2199056811124, 'n': 5, 'trace_an': -4}
  • id: 14219483
    {'hecke_orbit_code': 2199056811124, 'n': 6, 'trace_an': 0}
  • id: 14219484
    {'hecke_orbit_code': 2199056811124, 'n': 7, 'trace_an': 0}
  • id: 14219485
    {'hecke_orbit_code': 2199056811124, 'n': 8, 'trace_an': 0}
  • id: 14219486
    {'hecke_orbit_code': 2199056811124, 'n': 9, 'trace_an': 2}
  • id: 14219487
    {'hecke_orbit_code': 2199056811124, 'n': 10, 'trace_an': 0}
  • id: 14219488
    {'hecke_orbit_code': 2199056811124, 'n': 11, 'trace_an': -16}
  • id: 14219489
    {'hecke_orbit_code': 2199056811124, 'n': 12, 'trace_an': 0}
  • id: 14219490
    {'hecke_orbit_code': 2199056811124, 'n': 13, 'trace_an': 0}
  • id: 14219491
    {'hecke_orbit_code': 2199056811124, 'n': 14, 'trace_an': 0}
  • id: 14219492
    {'hecke_orbit_code': 2199056811124, 'n': 15, 'trace_an': 2}
  • id: 14219493
    {'hecke_orbit_code': 2199056811124, 'n': 16, 'trace_an': 0}
  • id: 14219494
    {'hecke_orbit_code': 2199056811124, 'n': 17, 'trace_an': 0}
  • id: 14219495
    {'hecke_orbit_code': 2199056811124, 'n': 18, 'trace_an': 0}
  • id: 14219496
    {'hecke_orbit_code': 2199056811124, 'n': 19, 'trace_an': -14}
  • id: 14219497
    {'hecke_orbit_code': 2199056811124, 'n': 20, 'trace_an': 0}
  • id: 14219498
    {'hecke_orbit_code': 2199056811124, 'n': 21, 'trace_an': 0}
  • id: 14219499
    {'hecke_orbit_code': 2199056811124, 'n': 22, 'trace_an': 0}
  • id: 14219500
    {'hecke_orbit_code': 2199056811124, 'n': 23, 'trace_an': 0}
  • id: 14219501
    {'hecke_orbit_code': 2199056811124, 'n': 24, 'trace_an': 0}
  • id: 14219502
    {'hecke_orbit_code': 2199056811124, 'n': 25, 'trace_an': -6}
  • id: 14219503
    {'hecke_orbit_code': 2199056811124, 'n': 26, 'trace_an': 0}
  • id: 14219504
    {'hecke_orbit_code': 2199056811124, 'n': 27, 'trace_an': 0}
  • id: 14219505
    {'hecke_orbit_code': 2199056811124, 'n': 28, 'trace_an': 0}
  • id: 14219506
    {'hecke_orbit_code': 2199056811124, 'n': 29, 'trace_an': -16}
  • id: 14219507
    {'hecke_orbit_code': 2199056811124, 'n': 30, 'trace_an': 0}
  • id: 14219508
    {'hecke_orbit_code': 2199056811124, 'n': 31, 'trace_an': 36}
  • id: 14219509
    {'hecke_orbit_code': 2199056811124, 'n': 32, 'trace_an': 0}
  • id: 14219510
    {'hecke_orbit_code': 2199056811124, 'n': 33, 'trace_an': 0}
  • id: 14219511
    {'hecke_orbit_code': 2199056811124, 'n': 34, 'trace_an': 0}
  • id: 14219512
    {'hecke_orbit_code': 2199056811124, 'n': 35, 'trace_an': 0}
  • id: 14219513
    {'hecke_orbit_code': 2199056811124, 'n': 36, 'trace_an': 0}
  • id: 14219514
    {'hecke_orbit_code': 2199056811124, 'n': 37, 'trace_an': 0}
  • id: 14219515
    {'hecke_orbit_code': 2199056811124, 'n': 38, 'trace_an': 0}
  • id: 14219516
    {'hecke_orbit_code': 2199056811124, 'n': 39, 'trace_an': -16}
  • id: 14219517
    {'hecke_orbit_code': 2199056811124, 'n': 40, 'trace_an': 0}
  • id: 14219518
    {'hecke_orbit_code': 2199056811124, 'n': 41, 'trace_an': 0}
  • id: 14219519
    {'hecke_orbit_code': 2199056811124, 'n': 42, 'trace_an': 0}
  • id: 14219520
    {'hecke_orbit_code': 2199056811124, 'n': 43, 'trace_an': 0}
  • id: 14219521
    {'hecke_orbit_code': 2199056811124, 'n': 44, 'trace_an': 0}
  • id: 14219522
    {'hecke_orbit_code': 2199056811124, 'n': 45, 'trace_an': -8}
  • id: 14219523
    {'hecke_orbit_code': 2199056811124, 'n': 46, 'trace_an': 0}
  • id: 14219524
    {'hecke_orbit_code': 2199056811124, 'n': 47, 'trace_an': 0}
  • id: 14219525
    {'hecke_orbit_code': 2199056811124, 'n': 48, 'trace_an': 0}
  • id: 14219526
    {'hecke_orbit_code': 2199056811124, 'n': 49, 'trace_an': 28}
  • id: 14219527
    {'hecke_orbit_code': 2199056811124, 'n': 50, 'trace_an': 0}
  • id: 14219528
    {'hecke_orbit_code': 2199056811124, 'n': 51, 'trace_an': -6}
  • id: 14219529
    {'hecke_orbit_code': 2199056811124, 'n': 52, 'trace_an': 0}
  • id: 14219530
    {'hecke_orbit_code': 2199056811124, 'n': 53, 'trace_an': 0}
  • id: 14219531
    {'hecke_orbit_code': 2199056811124, 'n': 54, 'trace_an': 0}
  • id: 14219532
    {'hecke_orbit_code': 2199056811124, 'n': 55, 'trace_an': 16}
  • id: 14219533
    {'hecke_orbit_code': 2199056811124, 'n': 56, 'trace_an': 0}
  • id: 14219534
    {'hecke_orbit_code': 2199056811124, 'n': 57, 'trace_an': 0}
  • id: 14219535
    {'hecke_orbit_code': 2199056811124, 'n': 58, 'trace_an': 0}
  • id: 14219536
    {'hecke_orbit_code': 2199056811124, 'n': 59, 'trace_an': 16}
  • id: 14219537
    {'hecke_orbit_code': 2199056811124, 'n': 60, 'trace_an': 0}
  • id: 14219538
    {'hecke_orbit_code': 2199056811124, 'n': 61, 'trace_an': -12}
  • id: 14219539
    {'hecke_orbit_code': 2199056811124, 'n': 62, 'trace_an': 0}
  • id: 14219540
    {'hecke_orbit_code': 2199056811124, 'n': 63, 'trace_an': 0}
  • id: 14219541
    {'hecke_orbit_code': 2199056811124, 'n': 64, 'trace_an': 0}
  • id: 14219542
    {'hecke_orbit_code': 2199056811124, 'n': 65, 'trace_an': -16}
  • id: 14219543
    {'hecke_orbit_code': 2199056811124, 'n': 66, 'trace_an': 0}
  • id: 14219544
    {'hecke_orbit_code': 2199056811124, 'n': 67, 'trace_an': 0}
  • id: 14219545
    {'hecke_orbit_code': 2199056811124, 'n': 68, 'trace_an': 0}
  • id: 14219546
    {'hecke_orbit_code': 2199056811124, 'n': 69, 'trace_an': 0}
  • id: 14219547
    {'hecke_orbit_code': 2199056811124, 'n': 70, 'trace_an': 0}
  • id: 14219548
    {'hecke_orbit_code': 2199056811124, 'n': 71, 'trace_an': -12}
  • id: 14219549
    {'hecke_orbit_code': 2199056811124, 'n': 72, 'trace_an': 0}
  • id: 14219550
    {'hecke_orbit_code': 2199056811124, 'n': 73, 'trace_an': 0}
  • id: 14219551
    {'hecke_orbit_code': 2199056811124, 'n': 74, 'trace_an': 0}
  • id: 14219552
    {'hecke_orbit_code': 2199056811124, 'n': 75, 'trace_an': -16}
  • id: 14219553
    {'hecke_orbit_code': 2199056811124, 'n': 76, 'trace_an': 0}
  • id: 14219554
    {'hecke_orbit_code': 2199056811124, 'n': 77, 'trace_an': 0}
  • id: 14219555
    {'hecke_orbit_code': 2199056811124, 'n': 78, 'trace_an': 0}
  • id: 14219556
    {'hecke_orbit_code': 2199056811124, 'n': 79, 'trace_an': -16}
  • id: 14219557
    {'hecke_orbit_code': 2199056811124, 'n': 80, 'trace_an': 0}
  • id: 14219558
    {'hecke_orbit_code': 2199056811124, 'n': 81, 'trace_an': -2}
  • id: 14219559
    {'hecke_orbit_code': 2199056811124, 'n': 82, 'trace_an': 0}
  • id: 14219560
    {'hecke_orbit_code': 2199056811124, 'n': 83, 'trace_an': 0}
  • id: 14219561
    {'hecke_orbit_code': 2199056811124, 'n': 84, 'trace_an': 0}
  • id: 14219562
    {'hecke_orbit_code': 2199056811124, 'n': 85, 'trace_an': -6}
  • id: 14219563
    {'hecke_orbit_code': 2199056811124, 'n': 86, 'trace_an': 0}
  • id: 14219564
    {'hecke_orbit_code': 2199056811124, 'n': 87, 'trace_an': 0}
  • id: 14219565
    {'hecke_orbit_code': 2199056811124, 'n': 88, 'trace_an': 0}
  • id: 14219566
    {'hecke_orbit_code': 2199056811124, 'n': 89, 'trace_an': -4}
  • id: 14219567
    {'hecke_orbit_code': 2199056811124, 'n': 90, 'trace_an': 0}
  • id: 14219568
    {'hecke_orbit_code': 2199056811124, 'n': 91, 'trace_an': 0}
  • id: 14219569
    {'hecke_orbit_code': 2199056811124, 'n': 92, 'trace_an': 0}
  • id: 14219570
    {'hecke_orbit_code': 2199056811124, 'n': 93, 'trace_an': 0}
  • id: 14219571
    {'hecke_orbit_code': 2199056811124, 'n': 94, 'trace_an': 0}
  • id: 14219572
    {'hecke_orbit_code': 2199056811124, 'n': 95, 'trace_an': -4}
  • id: 14219573
    {'hecke_orbit_code': 2199056811124, 'n': 96, 'trace_an': 0}
  • id: 14219574
    {'hecke_orbit_code': 2199056811124, 'n': 97, 'trace_an': 0}
  • id: 14219575
    {'hecke_orbit_code': 2199056811124, 'n': 98, 'trace_an': 0}
  • id: 14219576
    {'hecke_orbit_code': 2199056811124, 'n': 99, 'trace_an': -8}
  • id: 14219577
    {'hecke_orbit_code': 2199056811124, 'n': 100, 'trace_an': 0}