Embedded newform data - 720.4.f.d.289.2

Formats: - HTML - YAML - JSON - 2025-12-09T19:39:57.347587

• 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': 11520, 'analytic_conductor': 42.48137520413324, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 2, 'char_parity': 1, 'char_values': [720, 2, [271, 181, 641, 577], [2, 2, 2, 1]], 'cm_discs': [-15], 'conrey_index': 289, 'dim': 2, 'field_disc': -20, 'field_disc_factorization': [[-1, 1], [2, 2], [5, 1]], 'field_poly': [5, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[7, [0, 1]], [11, [0, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13511142546604752, 'hecke_ring_generator_nbound': 17, '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, 15, 4, -1, 2, -15], [1, 1, 3, 2, -1, 2, 0], [1, 1, 5, 2, 1, 2, 0]], 'is_cm': True, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': True, 'is_twist_minimal': False, 'label': '720.4.f.d', 'level': 720, '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], 'level_radical': 30, 'minimal_twist': '45.4.b.a', 'nf_label': '2.0.20.1', 'prim_orbit_index': 2, 'qexp_display': 'q-5\\beta q^{5}+62\\beta q^{17}-164q^{19}-44\\beta q^{23}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '3.2.1.d2', 'self_twist_discs': [-15], 'self_twist_type': 1, 'space_label': '720.4.f', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1153951866000172705, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.007', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.909', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.034', 'prec': 17}, {'__RealLiteral__': 0, 'data': '22.814', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '302.123', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.761', 'prec': 17}, 'traces': [2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -328, 0, 0, 0, 0, 0, -250, 0, 0, 0, 0, 0, 464, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 686, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -716, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 608, 0, 0, 0, 0, 0, 3100, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3668, 0, 0, 0, 0, 0, -2200, 0, 0, 0, 0, 0, -2662, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4394, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2596, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -10912, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8456, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -572, 0, 0, 0, 0, 0, 12200, 0, 0, 0, 0, 0, -2876, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 13900, 0, 0, 0, 0, 0, -13504, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28614, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -11704, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -7412, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40074, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8968, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27280, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28652, 0, 0, 0, 0, 0, 28400, 0, 0, 0, 0, 0, 13756, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -33952, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 41000, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -38632, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4974, 0, 0, 0, 0, 0, -400, 0, 0, 0, 0, 0, -6476, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 31900, 0, 0, 0, 0, 0, -52024, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -76096, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -27284, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6952, 0, 0, 0, 0, 0, 31250, 0, 0, 0, 0, 0, 55616, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 65956, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44500, 0, 0, 0, 0, 0, 65624, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -75452, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -17608, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 35024, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17572, 0, 0, 0, 0, 0, -58000, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -151280, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 90508, 0, 0, 0, 0, 0, 84200, 0, 0, 0, 0, 0, -48778, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 56408, 0, 0, 0, 0, 0, -9500, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -172360, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -42448, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112504, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48066, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 57100, 0, 0, 0, 0, 0, 124736, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'weight': 4, '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], [0.0, 0.0], [0.0, 0.0], [0.0, 1.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.977895350699512], [0.0, 0.0], [-1.9802200186722174, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.8919611209255175], [0.0, 0.0], [-1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.3441429054907026, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.6932771257982968], [0.0, 0.0], [1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.611075872451306], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.7514295576389632, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.43294521757153326, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.6796399638959487], [0.0, 0.0], [1.977895350699512, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.9802200186722174], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.016162157052976335], [0.0, 0.0], [-1.6116086303629282, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.187648749113479], [0.0, 0.0], [-0.8919611209255175, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.241063942904698], [0.0, 0.0], [-0.9787734123789017, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.6771587309244027, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.3441429054907026], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.7448270384833457], [0.0, 0.0], [1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.1867108037202727], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.5330363546015591, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.9235316144108169], [0.0, 0.0], [-1.9435456555404425, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.3794669366793186, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 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0.07357247728247011, -0.25, -0.132702381855119, 0.0, -0.25, 0.0, -0.3393113287185385, -0.35093822567156135, -0.25, -0.31130138171578775, 0.0, -0.25, 0.0, -0.21527239896567832, -0.34133023600019996, -0.25, 0.0, -0.25, 0.0, 0.0012861575917662012, -0.3991333445025375, -0.398808695198401, 0.0, -0.25, -0.39345835482841657, -0.33138966533658704, -0.25, -0.09169331450899548, 0.0, 0.0, -0.33127686409609824, 0.014879640531590344, -0.25, -0.20706338145954906, -0.25, 0.0, -0.4236080260087864, -0.4620950681966619, -0.1288638492218288, 0.0, 0.19652826336644594, -0.25656940861929234, 0.10756626408020259, -0.25, -0.2807775230360971, -0.25, 0.1460068889763181, -0.36660390128982334, -0.25, -0.3866053245657679, 0.0, -0.25, 0.0, 0.05103784209323125, 0.0, -0.25, 0.0, 0.1758410688149708, -0.3307510731856362, 0.0, 0.11502338284721485, -0.29586541973553326, -0.4701518778519597, -0.25, 0.0, 0.0, -0.2991381363560755, -0.38991927373723906, -0.25, 0.0, -0.25, -0.4166535652434665, -0.25, -0.18483216968691366, -0.25, 0.0, -0.4370534309377882, 0.20956522223165003, -0.25, 0.0, -0.25, 0.0, -0.46559730336248506, -0.25, 0.0, -0.25, -0.41679738912887304, -0.28691056326119335, -0.25, -0.25, 0.0, -0.27053414565688794, 0.0, 0.2356370475323275, -0.40775344900050225, -0.25, -0.4511224404175544, 0.0, 0.18053678421669714, -0.45609527669154337, -0.25, -0.3266049591676535, 0.0, 0.0, -0.31680474909596035, -0.2679994865390074, -0.07970632155800203, -0.25, 0.0, -0.4872277627929027, -0.3810918009216681, -0.25, -0.03890650750633727, 0.0, -0.30818896409537305, -0.35996004768996737, -0.07060442230508088, -0.25, -0.49353332400512684, -0.25, 0.0, 0.0, -0.28515942212404727, 0.04068149709956581, -0.18005837774666514, 0.0, -0.25, -0.21697730946914134, -0.461558002377847, 0.0, -0.49495360655348575, -0.25, -0.20065867675999272, -0.25, 0.0, -0.32054725528180616, -0.05156534126711486, -0.25, 0.0, 0.1933682000375526, -0.15537505924207815, 0.0869405618787166, 0.0, -0.25, 0.0, -0.4280318547570736, 0.0, -0.25, -0.31219485694663646, -0.25, 0.0, -0.25, 0.14080718016532773, 0.08606431098392615, 0.0, -0.25, -0.46581384670277043, 0.22360957374178184, -0.004564853099036526, 0.0], 'char_orbit_index': 6, 'conrey_index': 289, 'dual_conrey_index': 289, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': -2.23606797749979, 'embedding_root_real': 0.0, 'hecke_orbit': 4, 'hecke_orbit_code': 13511142546604752, 'label': '720.4.f.d.289.2', 'level': 720, 'weight': 4}
• 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': 11520, 'analytic_conductor': 42.48137520413324, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 2, 'char_parity': 1, 'char_values': [720, 2, [271, 181, 641, 577], [2, 2, 2, 1]], 'conrey_index': 289, 'cusp_dim': 408, 'dim': 44, 'eis_dim': 48, 'eis_new_dim': 2, 'hecke_cutter_primes': [7, 11], 'hecke_orbit_code': 343664493264, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 8], 'label': '720.4.f', 'level': 720, '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], 'level_radical': 30, 'mf_dim': 456, 'mf_new_dim': 46, 'num_forms': 14, 'prim_orbit_index': 2, 'relative_dim': 44, 'sturm_bound': 576, 'trace_bound': 19, 'trace_display': [0, 0, 2, 0], 'traces': [44, 0, 0, 0, 2, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, -96, 0, 0, 0, 172, 0, 56, 0, 0, 0, 184, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, -2220, 0, 0, 0, 0, 0, 264, 0, 0, 0, -720, 0, -536, 0, 0, 0, -328, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 1432, 0, 0, 0, 0, 0, -652, 0, 0, 0, -324, 0, -2000, 0, 0, 0, 1216, 0, 0, 0, 0, 0, -1860, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, 1944, 0, 0, 0, -2640, 0, 6028, 0, 0, 0, -742, 0, 0, 0, 0, 0, 1296, 0, 0, 0, 0, 0, 0, 0, -3496, 0, 0, 0, 0, 0, 1316, 0, 0, 0, 708, 0, -4472, 0, 0, 0, -2616, 0, 0, 0, 0, 0, 2864, 0, 0, 0, 0, 0, 0, 0, -5588, 0, 0, 0, 0, 0, -1056, 0, 0, 0, -880, 0, 4320, 0, 0, 0, 2296, 0, 0, 0, 0, 0, -4128, 0, 0, 0, 0, 0, 0, 0, -9896, 0, 0, 0, 0, 0, 2340, 0, 0, 0, -5152, 0, -5176, 0, 0, 0, 7488, 0, 0, 0, 0, 0, 3888, 0, 0, 0, 0, 0, 0, 0, -4928, 0, 0, 0, 0, 0, 11048, 0, 0, 0, 3680, 0, -2496, 0, 0, 0, 6366, 0, 0, 0, 0, 0, 15872, 0, 0, 0, 0, 0, 0, 0, -2064, 0, 0, 0, 0, 0, -236, 0, 0, 0, -13020, 0, 23304, 0, 0, 0, -7248, 0, 0, 0, 0, 0, 1140, 0, 0, 0, 0, 0, 0, 0, -1548, 0, 0, 0, 0, 0, 10696, 0, 0, 0, -8960, 0, -3920, 0, 0, 0, 3844, 0, 0, 0, 0, 0, -22560, 0, 0, 0, 0, 0, 0, 0, -18416, 0, 0, 0, 0, 0, 20672, 0, 0, 0, -3888, 0, 24232, 0, 0, 0, 19408, 0, 0, 0, 0, 0, 1728, 0, 0, 0, 0, 0, 0, 0, -27576, 0, 0, 0, 0, 0, 29312, 0, 0, 0, -80, 0, 5180, 0, 0, 0, 12592, 0, 0, 0, 0, 0, 34832, 0, 0, 0, 0, 0, 0, 0, -18296, 0, 0, 0, 0, 0, 10160, 0, 0, 0, -6588, 0, 35504, 0, 0, 0, -24424, 0, 0, 0, 0, 0, 4924, 0, 0, 0, 0, 0, 0, 0, -5680, 0, 0, 0, 0, 0, -36848, 0, 0, 0, -28800, 0, 5456, 0, 0, 0, -1824, 0, 0, 0, 0, 0, -44368, 0, 0, 0, 0, 0, 0, 0, -24360, 0, 0, 0, 0, 0, 22924, 0, 0, 0, -12588, 0, -49184, 0, 0, 0, 59456, 0, 0, 0, 0, 0, 9084, 0, 0, 0, 0, 0, 0, 0, -25200, 0, 0, 0, 0, 0, 8376, 0, 0, 0, 9776, 0, -1712, 0, 0, 0, -6080, 0, 0, 0, 0, 0, 96016, 0, 0, 0, 0, 0, 0, 0, -26152, 0, 0, 0, 0, 0, 44500, 0, 0, 0, -532, 0, 52768, 0, 0, 0, -33208, 0, 0, 0, 0, 0, -2804, 0, 0, 0, 0, 0, 0, 0, -45148, 0, 0, 0, 0, 0, 5200, 0, 0, 0, -71712, 0, 25760, 0, 0, 0, 21828, 0, 0, 0, 0, 0, -108928, 0, 0, 0, 0, 0, 0, 0, -65376, 0, 0, 0, 0, 0, 12212, 0, 0, 0, 228, 0, -65528, 0, 0, 0, 68320, 0, 0, 0, 0, 0, 2896, 0, 0, 0, 0, 0, 0, 0, -6336, 0, 0, 0, 0, 0, 74080, 0, 0, 0, 42064, 0, 14984, 0, 0, 0, 442, 0, 0, 0, 0, 0, 149088, 0, 0, 0, 0, 0, 0, 0, 42072, 0, 0, 0, 0, 0, 26956, 0, 0, 0, -3792, 0, 72104, 0, 0, 0, -83880, 0, 0, 0, 0, 0, -1836, 0, 0, 0, 0, 0, 0, 0, -67472, 0, 0, 0, 0, 0, -26520, 0, 0, 0, -104208, 0, 25768, 0, 0, 0, 9440, 0, 0, 0, 0, 0, -172096, 0, 0, 0, 0, 0, 0, 0, -102080, 0, 0, 0, 0, 0, -40900, 0, 0, 0, -56048, 0, -91672, 0, 0, 0, 116576, 0, 0, 0, 0, 0, 18628, 0, 0, 0, 0, 0, 0, 0, -74464, 0, 0, 0, 0, 0, 75152, 0, 0, 0, 69808, 0, 2496, 0, 0, 0, -7812, 0, 0, 0, 0, 0, 192576, 0, 0, 0, 0, 0, 0, 0, 20152, 0, 0, 0, 0, 0, 18524, 0, 0, 0, -86320, 0, 155480, 0, 0, 0, -135464, 0, 0, 0, 0, 0, -7412, 0, 0, 0, 0, 0, 0, 0, -11416, 0, 0, 0, 0, 0, -50280, 0, 0, 0, -69728, 0, -11936, 0, 0, 0, 16808, 0, 0, 0, 0, 0, -267536, 0, 0, 0, 0, 0, 0, 0, -49840, 0, 0, 0, 0, 0, -34288, 0, 0, 0, 33132, 0, -137176, 0, 0, 0, 186320, 0, 0, 0, 0, 0, -28524, 0, 0, 0, 0, 0, 0, 0, 25616, 0, 0, 0, 0, 0, 169368, 0, 0, 0, 111600, 0, 29724, 0, 0, 0, 50922, 0, 0, 0, 0, 0, 353024, 0, 0, 0, 0, 0, 0, 0, 73224, 0, 0, 0, 0, 0, -31972, 0, 0, 0, 73408, 0, 166912, 0, 0, 0, -228376, 0, 0, 0, 0, 0, 64996, 0, 0, 0, 0, 0, 0, 0, -64864, 0, 0, 0, 0, 0, -75064, 0, 0, 0, -118416, 0, 53832, 0, 0, 0, -100, 0, 0, 0, 0, 0, -364512, 0, 0, 0, 0, 0, 0, 0, -41016, 0, 0, 0, 0, 0, 71552, 0, 0, 0, -59372, 0, -186792, 0, 0, 0, 238128, 0, 0, 0, 0, 0, 50204, 0, 0, 0, 0, 0, 0, 0, 22240, 0, 0, 0, 0, 0, 142032, 0, 0, 0, 215824, 0, 15116, 0, 0, 0, -2672, 0, 0, 0, 0, 0, 396288, 0, 0, 0, 0, 0, 0, 0, 88768, 0, 0, 0, 0, 0, -83228, 0, 0, 0, -59088, 0, 139000, 0, 0, 0, -260968, 0, 0, 0, 0, 0], 'weight': 4, '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: 43263532
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 289, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511142546604752, 'source_is_minimal': False, 'source_label': '720.4.f.d.289.2', 'source_level': 720, 'target_conrey_index': 289, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13511142546604752, 'target_is_minimal': False, 'target_label': '720.4.f.d.289.2', 'target_level': 720, 'twist_class_label': '45.4.b.a.19.1', 'twist_class_level': 45, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 43263533
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 289, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511142546604752, 'source_is_minimal': False, 'source_label': '720.4.f.d.289.2', 'source_level': 720, 'target_conrey_index': 289, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13511142546604752, 'target_is_minimal': False, 'target_label': '720.4.f.d.289.1', 'target_level': 720, 'twist_class_label': '45.4.b.a.19.1', 'twist_class_level': 45, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 43263534
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 289, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511142546604752, 'source_is_minimal': False, 'source_label': '720.4.f.d.289.2', 'source_level': 720, 'target_conrey_index': 19, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 68786585645, 'target_is_minimal': True, 'target_label': '45.4.b.a.19.2', 'target_level': 45, 'twist_class_label': '45.4.b.a.19.1', 'twist_class_level': 45, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 43263535
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 289, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511142546604752, 'source_is_minimal': False, 'source_label': '720.4.f.d.289.2', 'source_level': 720, 'target_conrey_index': 289, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13511142546604752, 'target_is_minimal': False, 'target_label': '720.4.f.d.289.1', 'target_level': 720, 'twist_class_label': '45.4.b.a.19.1', 'twist_class_level': 45, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 4}
  • id: 43263536
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 289, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511142546604752, 'source_is_minimal': False, 'source_label': '720.4.f.d.289.2', 'source_level': 720, 'target_conrey_index': 19, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 68786585645, 'target_is_minimal': True, 'target_label': '45.4.b.a.19.1', 'target_level': 45, 'twist_class_label': '45.4.b.a.19.1', 'twist_class_level': 45, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 43263537
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 289, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511142546604752, 'source_is_minimal': False, 'source_label': '720.4.f.d.289.2', 'source_level': 720, 'target_conrey_index': 289, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13511142546604752, 'target_is_minimal': False, 'target_label': '720.4.f.d.289.2', 'target_level': 720, 'twist_class_label': '45.4.b.a.19.1', 'twist_class_level': 45, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 4}
  • id: 43263538
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 289, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511142546604752, 'source_is_minimal': False, 'source_label': '720.4.f.d.289.2', 'source_level': 720, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 45035996340814049, 'target_is_minimal': False, 'target_label': '225.4.a.k.1.2', 'target_level': 225, 'twist_class_label': '45.4.b.a.19.1', 'twist_class_level': 45, 'twisting_char_label': '20.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 43263539
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 289, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511142546604752, 'source_is_minimal': False, 'source_label': '720.4.f.d.289.2', 'source_level': 720, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45035996340814049, 'target_is_minimal': False, 'target_label': '225.4.a.k.1.1', 'target_level': 225, 'twist_class_label': '45.4.b.a.19.1', 'twist_class_level': 45, 'twisting_char_label': '20.7', 'twisting_conrey_index': 7, 'weight': 4}
  • id: 43263540
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 289, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511142546604752, 'source_is_minimal': False, 'source_label': '720.4.f.d.289.2', 'source_level': 720, 'target_conrey_index': 19, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 68786585645, 'target_is_minimal': True, 'target_label': '45.4.b.a.19.1', 'target_level': 45, 'twist_class_label': '45.4.b.a.19.1', 'twist_class_level': 45, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 4}
  • id: 43263541
    {'conductor': 60, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 289, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511142546604752, 'source_is_minimal': False, 'source_label': '720.4.f.d.289.2', 'source_level': 720, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45035996340814049, 'target_is_minimal': False, 'target_label': '225.4.a.k.1.1', 'target_level': 225, 'twist_class_label': '45.4.b.a.19.1', 'twist_class_level': 45, 'twisting_char_label': '60.23', 'twisting_conrey_index': 23, 'weight': 4}
  • id: 43263542
    {'conductor': 60, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 289, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511142546604752, 'source_is_minimal': False, 'source_label': '720.4.f.d.289.2', 'source_level': 720, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 45035996340814049, 'target_is_minimal': False, 'target_label': '225.4.a.k.1.2', 'target_level': 225, 'twist_class_label': '45.4.b.a.19.1', 'twist_class_level': 45, 'twisting_char_label': '60.47', 'twisting_conrey_index': 47, 'weight': 4}
  • id: 43263543
    {'conductor': 60, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 289, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511142546604752, 'source_is_minimal': False, 'source_label': '720.4.f.d.289.2', 'source_level': 720, 'target_conrey_index': 19, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 68786585645, 'target_is_minimal': True, 'target_label': '45.4.b.a.19.2', 'target_level': 45, 'twist_class_label': '45.4.b.a.19.1', 'twist_class_level': 45, 'twisting_char_label': '60.59', 'twisting_conrey_index': 59, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1245850
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 13511142546604752, 'p': 2}
  • id: 1245851
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 13511142546604752, 'p': 3}
  • id: 1245852
    {'charpoly_factorization': [[[125, 0, 1], 1]], 'hecke_orbit_code': 13511142546604752, 'p': 5}
  • id: 1245853
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 13511142546604752, 'p': 7}
  • id: 1245854
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 13511142546604752, 'p': 11}
  • id: 1245855
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 13511142546604752, 'p': 13}
  • id: 1245856
    {'charpoly_factorization': [[[19220, 0, 1], 1]], 'hecke_orbit_code': 13511142546604752, 'p': 17}
  • id: 1245857
    {'charpoly_factorization': [[[164, 1], 2]], 'hecke_orbit_code': 13511142546604752, 'p': 19}
  • id: 1245858
    {'charpoly_factorization': [[[9680, 0, 1], 1]], 'hecke_orbit_code': 13511142546604752, 'p': 23}
  • id: 1245859
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 13511142546604752, 'p': 29}
  • id: 1245860
    {'charpoly_factorization': [[[-232, 1], 2]], 'hecke_orbit_code': 13511142546604752, 'p': 31}
  • id: 1245861
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 13511142546604752, 'p': 37}
  • id: 1245862
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 13511142546604752, 'p': 41}
  • id: 1245863
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 13511142546604752, 'p': 43}
  • id: 1245864
    {'charpoly_factorization': [[[297680, 0, 1], 1]], 'hecke_orbit_code': 13511142546604752, 'p': 47}
  • id: 1245865
    {'charpoly_factorization': [[[386420, 0, 1], 1]], 'hecke_orbit_code': 13511142546604752, 'p': 53}
  • id: 1245866
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 13511142546604752, 'p': 59}
  • id: 1245867
    {'charpoly_factorization': [[[358, 1], 2]], 'hecke_orbit_code': 13511142546604752, 'p': 61}
  • id: 1245868
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 13511142546604752, 'p': 67}
  • id: 1245869
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 13511142546604752, 'p': 71}
  • id: 1245870
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 13511142546604752, 'p': 73}
  • id: 1245871
    {'charpoly_factorization': [[[-304, 1], 2]], 'hecke_orbit_code': 13511142546604752, 'p': 79}
  • id: 1245872
    {'charpoly_factorization': [[[1613120, 0, 1], 1]], 'hecke_orbit_code': 13511142546604752, 'p': 83}
  • id: 1245873
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 13511142546604752, 'p': 89}
  • id: 1245874
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 13511142546604752, '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': 6, 'hecke_orbit': 4, 'label': '720.4.f.d', 'level': 720, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 36683191
    {'hecke_orbit_code': 13511142546604752, 'n': 1, 'trace_an': 2}
  • id: 36683192
    {'hecke_orbit_code': 13511142546604752, 'n': 2, 'trace_an': 0}
  • id: 36683193
    {'hecke_orbit_code': 13511142546604752, 'n': 3, 'trace_an': 0}
  • id: 36683194
    {'hecke_orbit_code': 13511142546604752, 'n': 4, 'trace_an': 0}
  • id: 36683195
    {'hecke_orbit_code': 13511142546604752, 'n': 5, 'trace_an': 0}
  • id: 36683196
    {'hecke_orbit_code': 13511142546604752, 'n': 6, 'trace_an': 0}
  • id: 36683197
    {'hecke_orbit_code': 13511142546604752, 'n': 7, 'trace_an': 0}
  • id: 36683198
    {'hecke_orbit_code': 13511142546604752, 'n': 8, 'trace_an': 0}
  • id: 36683199
    {'hecke_orbit_code': 13511142546604752, 'n': 9, 'trace_an': 0}
  • id: 36683200
    {'hecke_orbit_code': 13511142546604752, 'n': 10, 'trace_an': 0}
  • id: 36683201
    {'hecke_orbit_code': 13511142546604752, 'n': 11, 'trace_an': 0}
  • id: 36683202
    {'hecke_orbit_code': 13511142546604752, 'n': 12, 'trace_an': 0}
  • id: 36683203
    {'hecke_orbit_code': 13511142546604752, 'n': 13, 'trace_an': 0}
  • id: 36683204
    {'hecke_orbit_code': 13511142546604752, 'n': 14, 'trace_an': 0}
  • id: 36683205
    {'hecke_orbit_code': 13511142546604752, 'n': 15, 'trace_an': 0}
  • id: 36683206
    {'hecke_orbit_code': 13511142546604752, 'n': 16, 'trace_an': 0}
  • id: 36683207
    {'hecke_orbit_code': 13511142546604752, 'n': 17, 'trace_an': 0}
  • id: 36683208
    {'hecke_orbit_code': 13511142546604752, 'n': 18, 'trace_an': 0}
  • id: 36683209
    {'hecke_orbit_code': 13511142546604752, 'n': 19, 'trace_an': -328}
  • id: 36683210
    {'hecke_orbit_code': 13511142546604752, 'n': 20, 'trace_an': 0}
  • id: 36683211
    {'hecke_orbit_code': 13511142546604752, 'n': 21, 'trace_an': 0}
  • id: 36683212
    {'hecke_orbit_code': 13511142546604752, 'n': 22, 'trace_an': 0}
  • id: 36683213
    {'hecke_orbit_code': 13511142546604752, 'n': 23, 'trace_an': 0}
  • id: 36683214
    {'hecke_orbit_code': 13511142546604752, 'n': 24, 'trace_an': 0}
  • id: 36683215
    {'hecke_orbit_code': 13511142546604752, 'n': 25, 'trace_an': -250}
  • id: 36683216
    {'hecke_orbit_code': 13511142546604752, 'n': 26, 'trace_an': 0}
  • id: 36683217
    {'hecke_orbit_code': 13511142546604752, 'n': 27, 'trace_an': 0}
  • id: 36683218
    {'hecke_orbit_code': 13511142546604752, 'n': 28, 'trace_an': 0}
  • id: 36683219
    {'hecke_orbit_code': 13511142546604752, 'n': 29, 'trace_an': 0}
  • id: 36683220
    {'hecke_orbit_code': 13511142546604752, 'n': 30, 'trace_an': 0}
  • id: 36683221
    {'hecke_orbit_code': 13511142546604752, 'n': 31, 'trace_an': 464}
  • id: 36683222
    {'hecke_orbit_code': 13511142546604752, 'n': 32, 'trace_an': 0}
  • id: 36683223
    {'hecke_orbit_code': 13511142546604752, 'n': 33, 'trace_an': 0}
  • id: 36683224
    {'hecke_orbit_code': 13511142546604752, 'n': 34, 'trace_an': 0}
  • id: 36683225
    {'hecke_orbit_code': 13511142546604752, 'n': 35, 'trace_an': 0}
  • id: 36683226
    {'hecke_orbit_code': 13511142546604752, 'n': 36, 'trace_an': 0}
  • id: 36683227
    {'hecke_orbit_code': 13511142546604752, 'n': 37, 'trace_an': 0}
  • id: 36683228
    {'hecke_orbit_code': 13511142546604752, 'n': 38, 'trace_an': 0}
  • id: 36683229
    {'hecke_orbit_code': 13511142546604752, 'n': 39, 'trace_an': 0}
  • id: 36683230
    {'hecke_orbit_code': 13511142546604752, 'n': 40, 'trace_an': 0}
  • id: 36683231
    {'hecke_orbit_code': 13511142546604752, 'n': 41, 'trace_an': 0}
  • id: 36683232
    {'hecke_orbit_code': 13511142546604752, 'n': 42, 'trace_an': 0}
  • id: 36683233
    {'hecke_orbit_code': 13511142546604752, 'n': 43, 'trace_an': 0}
  • id: 36683234
    {'hecke_orbit_code': 13511142546604752, 'n': 44, 'trace_an': 0}
  • id: 36683235
    {'hecke_orbit_code': 13511142546604752, 'n': 45, 'trace_an': 0}
  • id: 36683236
    {'hecke_orbit_code': 13511142546604752, 'n': 46, 'trace_an': 0}
  • id: 36683237
    {'hecke_orbit_code': 13511142546604752, 'n': 47, 'trace_an': 0}
  • id: 36683238
    {'hecke_orbit_code': 13511142546604752, 'n': 48, 'trace_an': 0}
  • id: 36683239
    {'hecke_orbit_code': 13511142546604752, 'n': 49, 'trace_an': 686}
  • id: 36683240
    {'hecke_orbit_code': 13511142546604752, 'n': 50, 'trace_an': 0}
  • id: 36683241
    {'hecke_orbit_code': 13511142546604752, 'n': 51, 'trace_an': 0}
  • id: 36683242
    {'hecke_orbit_code': 13511142546604752, 'n': 52, 'trace_an': 0}
  • id: 36683243
    {'hecke_orbit_code': 13511142546604752, 'n': 53, 'trace_an': 0}
  • id: 36683244
    {'hecke_orbit_code': 13511142546604752, 'n': 54, 'trace_an': 0}
  • id: 36683245
    {'hecke_orbit_code': 13511142546604752, 'n': 55, 'trace_an': 0}
  • id: 36683246
    {'hecke_orbit_code': 13511142546604752, 'n': 56, 'trace_an': 0}
  • id: 36683247
    {'hecke_orbit_code': 13511142546604752, 'n': 57, 'trace_an': 0}
  • id: 36683248
    {'hecke_orbit_code': 13511142546604752, 'n': 58, 'trace_an': 0}
  • id: 36683249
    {'hecke_orbit_code': 13511142546604752, 'n': 59, 'trace_an': 0}
  • id: 36683250
    {'hecke_orbit_code': 13511142546604752, 'n': 60, 'trace_an': 0}
  • id: 36683251
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  • id: 36683252
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  • id: 36683254
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  • id: 36683255
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  • id: 36683256
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  • id: 36683257
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  • id: 36683258
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  • id: 36683259
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  • id: 36683260
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  • id: 36683261
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  • id: 36683262
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  • id: 36683263
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  • id: 36683264
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  • id: 36683265
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  • id: 36683266
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  • id: 36683267
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  • id: 36683268
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  • id: 36683269
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  • id: 36683270
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  • id: 36683271
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  • id: 36683272
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  • id: 36683273
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  • id: 36683274
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  • id: 36683275
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  • id: 36683276
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  • id: 36683277
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  • id: 36683278
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  • id: 36683279
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  • id: 36683280
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  • id: 36683281
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  • id: 36683282
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  • id: 36683283
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  • id: 36683284
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  • id: 36683285
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  • id: 36683286
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  • id: 36683288
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  • id: 36683289
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  • id: 36683291
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  • id: 36683292
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  • id: 36683293
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  • id: 36683294
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  • id: 36683295
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  • id: 36683296
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  • id: 36683297
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  • id: 36683298
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  • id: 36683300
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  • id: 36683301
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  • id: 36683302
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  • id: 36683304
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  • id: 36683310
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  • id: 36683311
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  • id: 36683312
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  • id: 36683313
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  • id: 36683314
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  • id: 36683315
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  • id: 36683316
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  • id: 36683317
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  • id: 36683318
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  • id: 36683319
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  • id: 36683320
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  • id: 36683321
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  • id: 36683322
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  • id: 36683323
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  • id: 36683324
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  • id: 36683325
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  • id: 36683326
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  • id: 36683328
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  • id: 36683329
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  • id: 36683330
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  • id: 36683331
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  • id: 36683332
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  • id: 36683333
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  • id: 36683334
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  • id: 36683335
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  • id: 36683336
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  • id: 36683337
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  • id: 36683338
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  • id: 36683339
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  • id: 36683340
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  • id: 36683341
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  • id: 36683342
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  • id: 36683343
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  • id: 36683344
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  • id: 36683345
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  • id: 36683346
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  • id: 36683347
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  • id: 36683348
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  • id: 36683349
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  • id: 36683350
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  • id: 36683351
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  • id: 36683352
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  • id: 36683353
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  • id: 36683354
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  • id: 36683355
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  • id: 36683356
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  • id: 36683357
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  • id: 36683358
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  • id: 36683359
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  • id: 36683360
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  • id: 36683361
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  • id: 36683362
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  • id: 36683363
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  • id: 36683364
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  • id: 36683365
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  • id: 36683366
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  • id: 36683367
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  • id: 36683368
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  • id: 36683369
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  • id: 36683370
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  • id: 36683371
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  • id: 36683372
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  • id: 36683374
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  • id: 36683375
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  • id: 36683376
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  • id: 36683377
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  • id: 36683378
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  • id: 36683379
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  • id: 36683380
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  • id: 36683381
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  • id: 36683382
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  • id: 36683383
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  • id: 36683384
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  • id: 36683385
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  • id: 36683386
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  • id: 36683387
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  • id: 36683388
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  • id: 36683389
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  • id: 36683390
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  • id: 36683391
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  • id: 36683392
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  • id: 36683393
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  • id: 36683394
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  • id: 36683398
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    {'hecke_orbit_code': 13511142546604752, 'n': 983, 'trace_an': 0}
  • id: 36683447
    {'hecke_orbit_code': 13511142546604752, 'n': 991, 'trace_an': 124736}
  • id: 36683448
    {'hecke_orbit_code': 13511142546604752, 'n': 997, 'trace_an': 0}