Embedded newform data - 7.11.b.b.6.1

Formats: - HTML - YAML - JSON - 2024-05-22T11:09:45.969943

• 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_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': 847, 'analytic_conductor': 4.447500768716068, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 7, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': -1, 'char_values': [7, 2, [3], [1]], 'cm_discs': [], 'conrey_index': 6, 'dim': 4, 'field_disc': 373770240, 'field_disc_factorization': [[2, 11], [3, 1], [5, 1], [23, 3]], 'field_poly': [2760, 0, 368, 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': [[2, [-592, 24, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503668531396615, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 13440, 'hecke_ring_index_factorization': [[2, 7], [3, 1], [5, 1], [7, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 7, 2, -1, 2, 0]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '7.11.b.b', 'level': 7, 'level_is_powerful': False, 'level_is_prime': True, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [7], 'level_radical': 7, 'minimal_twist': '7.11.b.b', 'nf_label': '4.0.373770240.2', 'prim_orbit_index': 2, 'qexp_display': 'q+(-12+\\beta _{2})q^{2}-\\beta _{1}q^{3}+(-12^{2}+\\cdots)q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '10.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '7.11.b', 'trace_display': [-48, 0, 0, 4900], 'trace_hash': 1270926725703777175, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.034', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.830', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '73.358', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1903.962', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.505', 'prec': 17}, 'traces': [4, -48, 0, -576, 0, 0, 4900, -14592, -28764, 0, 85992, 0, 0, 373968, 529920, -1825792, 0, 80208, 0, 0, 0, 11344672, -19261752, 0, 16364260, 0, 0, -11092032, 23044008, -70744320, 0, 129552384, 0, 0, -151468800, 10501056, -174916888, 0, 489646080, 0, 0, -454406400, 163158248, -309420672, 0, 1007838880, 0, 0, -990662204, 83868240, -955445760, 0, 1693931880, 0, 0, -398711040, 803623680, -1932834272, 0, 1468938240, 0, 0, -74185020, 511688704, -481608960, 0, -2064766168, 0, 0, 2877907200, 1129059912, 338095872, 0, -4795503840, 0, 0, 1924696872, -3893057280, 10836295688, 0, -15414934716, 0, 0, 10905753600, -5489441280, 14805307680, 0, -11205085696, 0, 0, 3483782400, -15867056256, 27132433920, 0, -21990620160, 0, 0, 14008509648, -1732260312, -9082198080, 0, -11691095040, 0, 0, -8815484160, 14673373984, 17303595240, 0, 13009059368, 0, 0, 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-315988120032, 586107947520, 0, 1935871418880, 0, 0, 187617497088, -142896936060, -1643465487200, 0, 1332594063360, 0, 0, -1910324505600, 1373484893696, -596574722232, 0, 2006495623680, 0, 0, -965159193600, -747283206648, -2269244620800, 0, 1130582264304, 0, 0, -59375769600, 1511971453440, -1016278986240, 0, 440816866560, 0, 0, 93161299392, 2851148642128, -1631402540640, 0, 1363279085568, 0, 0, -1227765642712, -2702653470720, -16641905688, 0, 77145593928, 0, 0, 3233101536000, 2651307932160, -199618233984, 0, -3773296949760, 0, 0, 891272712960, -983990344544, 1529925130920, 0, -5713244903320, 0, 0, -380489625600, -5557766908728, 6498261642240, 0, 2801721859968, 0, 0, 5887592256000, -949314760704, 2087724373636, 0, -8985639882240, 0, 0, 489850099200, 3905972843520, 6705262523904, 0, -8285754836192, 0, 0, 2664060232232, -11017856885088, 2506362624000, 0, 860291646720, 0, 0, -864315199104, 3303249431040, 11698537943040, 0, -3531001098240, 0, 0, 993786796800, 1488092533632, -6328184940888, 0, -6467711079920, 0, 0, -2219459862368, -4073246507520, 2503789838784, 0, 5758498573344, 0, 0, 12704900006400, 3366896002560, -10441691428888, 0, 1878332926248, 0, 0, -14308348723200, 10265775553160, -2033186139312, 0, 5119383306240, 0, 0, -3187805539100, -15346823145984, -19538179015680, 0, 22264340762472, 0, 0, 1378878380880, 25213623805440, 3612070453248, 0, 7778494575360, 0, 0, -4574418347520, 9218306922016, -30138880049592, 0, 2885737232164, 0, 0, -20571886540800, -20985892899840, 4826975304960, 0, 33248650266624, 0, 0, 7220148364968, 12320741744640, -8382239621272, 0, 1214102361600, 0, 0, -24055366003200, 18762338794088, -4944490629120, 0, -18731524954976, 0, 0, 1201147584000, -29820907455840, -2681959560408, 0, 40934896031208, 0, 0, 1747840104192, 11437938213120, 34668889150240, 0, 2522151119232, 0, 0, -7886495715840, 1354743219200, -15271293166968, 0, -44748838095360, 0, 0, 3047179424800, -32744868567408, 23863136993280, 0, 8565973624320, 0, 0, 38372196979200, -5132637249120, 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0, -16042340892312, -283433939506400, -80928857425920, 0, 619167683957760, 0, 0, -59549367850560, 463556024286888, -232179009431040, 0, 2863823683584, 0, 0, -426963737222400, -527050099537920, -705701982513688, 0, -66491855619768, 0, 0, -76845211591680, 475209274606080, -53940340457088, 0, 418175513914528, 0, 0, 701264797363200, 353071517984592, 161340721896960, 0, -63389250304920, 0, 0, -748616973619200, -698028670843164, 532950685079040, 0, 78215664199680, 0, 0, -177619645969920, -571955628957696, 42659779394832, 0, -329580637801432, 0, 0, 139503779347744, 968185175013960, 496040662794240, 0, -218443817791200, 0, 0, 216750180818472, -869609983449600, -386666455150072, 0, 307617395500800, 0, 0, 559661463244800, -583529108220568, 834678967081248, 0, -217186681835520, 0, 0, -7566175193752, 104694779227008, 55707961351680, 0, -1582091169630720, 0, 0, -460286115878400, 811612070323200, 687705037017984, 0, -99168306685920, 0, 0, 1064167077657600, -978748785282272, 513463570744320, 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

  
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'char_orbit_index': 2, 'conrey_index': 6, 'dual_conrey_index': 6, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': -18.98263889877424, 'embedding_root_real': 0.0, 'hecke_orbit': 2, 'hecke_orbit_code': 4503668531396615, 'label': '7.11.b.b.6.1', 'level': 7, 'weight': 11}
• mf_newspaces •

  Column	Type
  ALdims	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': 847, 'analytic_conductor': 4.447500768716068, 'char_conductor': 7, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': -1, 'char_values': [7, 2, [3], [1]], 'conrey_index': 6, 'cusp_dim': 5, 'dim': 5, 'eis_dim': 2, 'eis_new_dim': 2, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 68904026119, 'hecke_orbit_dims': [1, 4], 'label': '7.11.b', 'level': 7, 'level_is_powerful': False, 'level_is_prime': True, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [7], 'level_radical': 7, 'mf_dim': 7, 'mf_new_dim': 7, 'num_forms': 2, 'prim_orbit_index': 2, 'relative_dim': 5, 'sturm_bound': 7, 'trace_bound': 1, 'trace_display': [9, 0, 0, -11907], 'traces': [5, 9, 0, 1649, 0, 0, -11907, 53865, 30285, 0, -230334, 0, 0, -584031, 529920, -202143, 0, 3446001, 0, 0, 0, -6685910, -7612134, 0, 26129885, 0, 0, -48487607, 35049234, -70744320, 0, 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2191906742054400, 0, -1684794727682646, 0, 0, 732815748403200, 950878507709826, 528399598195690, 0, -2636743962746880, 0, 0, 669032903185920, -2410209871534080, 1819501297607844, 0, -450670846645494, 0, 0, 3624292848882034, -3212236985241600, -2110310995322880, 0, 1560108747588762, 0, 0], 'weight': 11, '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: 34624668
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 6, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503668531396615, 'source_is_minimal': True, 'source_label': '7.11.b.b.6.1', 'source_level': 7, 'target_conrey_index': 6, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503668531396615, 'target_is_minimal': True, 'target_label': '7.11.b.b.6.1', 'target_level': 7, 'twist_class_label': '7.11.b.b.6.1', 'twist_class_level': 7, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 11}
  • id: 34624669
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 6, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503668531396615, 'source_is_minimal': True, 'source_label': '7.11.b.b.6.1', 'source_level': 7, 'target_conrey_index': 55, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9007405597720639, 'target_is_minimal': False, 'target_label': '63.11.d.c.55.3', 'target_level': 63, 'twist_class_label': '7.11.b.b.6.1', 'twist_class_level': 7, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 11}
  • id: 34624670
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 6, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503668531396615, 'source_is_minimal': True, 'source_label': '7.11.b.b.6.1', 'source_level': 7, 'target_conrey_index': 97, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 4503737250873456, 'target_is_minimal': False, 'target_label': '112.11.c.b.97.3', 'target_level': 112, 'twist_class_label': '7.11.b.b.6.1', 'twist_class_level': 7, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 11}
  • id: 34624671
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 6, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503668531396615, 'source_is_minimal': True, 'source_label': '7.11.b.b.6.1', 'source_level': 7, 'target_conrey_index': 31, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 4503805970350129, 'target_is_minimal': False, 'target_label': '49.11.d.b.31.4', 'target_level': 49, 'twist_class_label': '7.11.b.b.6.1', 'twist_class_level': 7, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 11}
  • id: 34624672
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 6, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503668531396615, 'source_is_minimal': True, 'source_label': '7.11.b.b.6.1', 'source_level': 7, 'target_conrey_index': 19, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 4503805970350129, 'target_is_minimal': False, 'target_label': '49.11.d.b.19.4', 'target_level': 49, 'twist_class_label': '7.11.b.b.6.1', 'twist_class_level': 7, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 11}
  • id: 34624673
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 6, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503668531396615, 'source_is_minimal': True, 'source_label': '7.11.b.b.6.1', 'source_level': 7, 'target_conrey_index': 19, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 4503805970350129, 'target_is_minimal': False, 'target_label': '49.11.d.b.19.3', 'target_level': 49, 'twist_class_label': '7.11.b.b.6.1', 'twist_class_level': 7, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 11}
  • id: 34624674
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 6, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503668531396615, 'source_is_minimal': True, 'source_label': '7.11.b.b.6.1', 'source_level': 7, 'target_conrey_index': 31, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 4503805970350129, 'target_is_minimal': False, 'target_label': '49.11.d.b.31.3', 'target_level': 49, 'twist_class_label': '7.11.b.b.6.1', 'twist_class_level': 7, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 11}
  • id: 34624675
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 6, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503668531396615, 'source_is_minimal': True, 'source_label': '7.11.b.b.6.1', 'source_level': 7, 'target_conrey_index': 6, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503668531396615, 'target_is_minimal': True, 'target_label': '7.11.b.b.6.2', 'target_level': 7, 'twist_class_label': '7.11.b.b.6.1', 'twist_class_level': 7, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 11}
  • id: 34624676
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 6, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503668531396615, 'source_is_minimal': True, 'source_label': '7.11.b.b.6.1', 'source_level': 7, 'target_conrey_index': 55, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 9007405597720639, 'target_is_minimal': False, 'target_label': '63.11.d.c.55.4', 'target_level': 63, 'twist_class_label': '7.11.b.b.6.1', 'twist_class_level': 7, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 11}
  • id: 34624677
    {'conductor': 28, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 6, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503668531396615, 'source_is_minimal': True, 'source_label': '7.11.b.b.6.1', 'source_level': 7, 'target_conrey_index': 97, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503737250873456, 'target_is_minimal': False, 'target_label': '112.11.c.b.97.2', 'target_level': 112, 'twist_class_label': '7.11.b.b.6.1', 'twist_class_level': 7, 'twisting_char_label': '28.27', 'twisting_conrey_index': 27, 'weight': 11}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 28800
    {'charpoly_factorization': [[[-592, 24, 1], 2]], 'hecke_orbit_code': 4503668531396615, 'p': 2}
  • id: 28801
    {'charpoly_factorization': [[[4381776000, 0, 132480, 0, 1], 1]], 'hecke_orbit_code': 4503668531396615, 'p': 3}
  • id: 28802
    {'charpoly_factorization': [[[25531635024000, 0, 11349120, 0, 1], 1]], 'hecke_orbit_code': 4503668531396615, 'p': 5}
  • id: 28803
    {'charpoly_factorization': [[[79792266297612001, -1384128720100, 507336102, -4900, 1], 1]], 'hecke_orbit_code': 4503668531396615, 'p': 7}
  • id: 28804
    {'charpoly_factorization': [[[-12545617372, -42996, 1], 2]], 'hecke_orbit_code': 4503668531396615, 'p': 11}
  • id: 28805
    {'charpoly_factorization': [[[48985783593278397264000, 0, 458156334720, 0, 1], 1]], 'hecke_orbit_code': 4503668531396615, 'p': 13}
  • id: 28806
    {'charpoly_factorization': [[[30285446969722097664000, 0, 2988125614080, 0, 1], 1]], 'hecke_orbit_code': 4503668531396615, 'p': 17}
  • id: 28807
    {'charpoly_factorization': [[[16499887801019640987984000, 0, 10819263899520, 0, 1], 1]], 'hecke_orbit_code': 4503668531396615, 'p': 19}
  • id: 28808
    {'charpoly_factorization': [[[-28039440658492, 9630876, 1], 2]], 'hecke_orbit_code': 4503668531396615, 'p': 23}
  • id: 28809
    {'charpoly_factorization': [[[-199771975916572, -11522004, 1], 2]], 'hecke_orbit_code': 4503668531396615, 'p': 29}
  • id: 28810
    {'charpoly_factorization': [[[11786873415636806752075776000, 0, 2659117364613120, 0, 1], 1]], 'hecke_orbit_code': 4503668531396615, 'p': 31}
  • id: 28811
    {'charpoly_factorization': [[[-2124288755994332, 87458444, 1], 2]], 'hecke_orbit_code': 4503668531396615, 'p': 37}
  • id: 28812
    {'charpoly_factorization': [[[629634617785149452684764416000, 0, 32296057165908480, 0, 1], 1]], 'hecke_orbit_code': 4503668531396615, 'p': 41}
  • id: 28813
    {'charpoly_factorization': [[[-22198736885904092, -81579124, 1], 2]], 'hecke_orbit_code': 4503668531396615, 'p': 43}
  • id: 28814
    {'charpoly_factorization': [[[786820943515666564028554039296000, 0, 93421318876078080, 0, 1], 1]], 'hecke_orbit_code': 4503668531396615, 'p': 47}
  • id: 28815
    {'charpoly_factorization': [[[75309381723283364, -846965940, 1], 2]], 'hecke_orbit_code': 4503668531396615, 'p': 53}
  • id: 28816
    {'charpoly_factorization': [[[42078149510878075373935440765264000, 0, 1865782581199351680, 0, 1], 1]], 'hecke_orbit_code': 4503668531396615, 'p': 59}
  • id: 28817
    {'charpoly_factorization': [[[36148178827212795767331874256976000, 0, 380843323611185280, 0, 1], 1]], 'hecke_orbit_code': 4503668531396615, 'p': 61}
  • id: 28818
    {'charpoly_factorization': [[[230045810101356388, 1032383084, 1], 2]], 'hecke_orbit_code': 4503668531396615, 'p': 67}
  • id: 28819
    {'charpoly_factorization': [[[-1215792211488873532, -564529956, 1], 2]], 'hecke_orbit_code': 4503668531396615, 'p': 71}
  • id: 28820
    {'charpoly_factorization': [[[16968897053954995935870497646777600000, 0, 9719668184473105920, 0, 1], 1]], 'hecke_orbit_code': 4503668531396615, 'p': 73}
  • id: 28821
    {'charpoly_factorization': [[[5968964802001448068, -5418147844, 1], 2]], 'hecke_orbit_code': 4503668531396615, 'p': 79}
  • id: 28822
    {'charpoly_factorization': [[[83673884080313400074817959314234704000, 0, 18848470390358609280, 0, 1], 1]], 'hecke_orbit_code': 4503668531396615, 'p': 83}
  • id: 28823
    {'charpoly_factorization': [[[19676810409549482694232798396187904000, 0, 36708846135842004480, 0, 1], 1]], 'hecke_orbit_code': 4503668531396615, 'p': 89}
  • id: 28824
    {'charpoly_factorization': [[[5350799121753367945593895600156114944000, 0, 156485666134533550080, 0, 1], 1]], 'hecke_orbit_code': 4503668531396615, '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': 2, 'hecke_orbit': 2, 'label': '7.11.b.b', 'level': 7, 'portrait': 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', 'weight': 11}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 80306000
    {'hecke_orbit_code': 4503668531396615, 'n': 1, 'trace_an': 4}
  • id: 80306001
    {'hecke_orbit_code': 4503668531396615, 'n': 2, 'trace_an': -48}
  • id: 80306002
    {'hecke_orbit_code': 4503668531396615, 'n': 3, 'trace_an': 0}
  • id: 80306003
    {'hecke_orbit_code': 4503668531396615, 'n': 4, 'trace_an': -576}
  • id: 80306004
    {'hecke_orbit_code': 4503668531396615, 'n': 5, 'trace_an': 0}
  • id: 80306005
    {'hecke_orbit_code': 4503668531396615, 'n': 6, 'trace_an': 0}
  • id: 80306006
    {'hecke_orbit_code': 4503668531396615, 'n': 7, 'trace_an': 4900}
  • id: 80306007
    {'hecke_orbit_code': 4503668531396615, 'n': 8, 'trace_an': -14592}
  • id: 80306008
    {'hecke_orbit_code': 4503668531396615, 'n': 9, 'trace_an': -28764}
  • id: 80306009
    {'hecke_orbit_code': 4503668531396615, 'n': 10, 'trace_an': 0}
  • id: 80306010
    {'hecke_orbit_code': 4503668531396615, 'n': 11, 'trace_an': 85992}
  • id: 80306011
    {'hecke_orbit_code': 4503668531396615, 'n': 12, 'trace_an': 0}
  • id: 80306012
    {'hecke_orbit_code': 4503668531396615, 'n': 13, 'trace_an': 0}
  • id: 80306013
    {'hecke_orbit_code': 4503668531396615, 'n': 14, 'trace_an': 373968}
  • id: 80306014
    {'hecke_orbit_code': 4503668531396615, 'n': 15, 'trace_an': 529920}
  • id: 80306015
    {'hecke_orbit_code': 4503668531396615, 'n': 16, 'trace_an': -1825792}
  • id: 80306016
    {'hecke_orbit_code': 4503668531396615, 'n': 17, 'trace_an': 0}
  • id: 80306017
    {'hecke_orbit_code': 4503668531396615, 'n': 18, 'trace_an': 80208}
  • id: 80306018
    {'hecke_orbit_code': 4503668531396615, 'n': 19, 'trace_an': 0}
  • id: 80306019
    {'hecke_orbit_code': 4503668531396615, 'n': 20, 'trace_an': 0}
  • id: 80306020
    {'hecke_orbit_code': 4503668531396615, 'n': 21, 'trace_an': 0}
  • id: 80306021
    {'hecke_orbit_code': 4503668531396615, 'n': 22, 'trace_an': 11344672}
  • id: 80306022
    {'hecke_orbit_code': 4503668531396615, 'n': 23, 'trace_an': -19261752}
  • id: 80306023
    {'hecke_orbit_code': 4503668531396615, 'n': 24, 'trace_an': 0}
  • id: 80306024
    {'hecke_orbit_code': 4503668531396615, 'n': 25, 'trace_an': 16364260}
  • id: 80306025
    {'hecke_orbit_code': 4503668531396615, 'n': 26, 'trace_an': 0}
  • id: 80306026
    {'hecke_orbit_code': 4503668531396615, 'n': 27, 'trace_an': 0}
  • id: 80306027
    {'hecke_orbit_code': 4503668531396615, 'n': 28, 'trace_an': -11092032}
  • id: 80306028
    {'hecke_orbit_code': 4503668531396615, 'n': 29, 'trace_an': 23044008}
  • id: 80306029
    {'hecke_orbit_code': 4503668531396615, 'n': 30, 'trace_an': -70744320}
  • id: 80306030
    {'hecke_orbit_code': 4503668531396615, 'n': 31, 'trace_an': 0}
  • id: 80306031
    {'hecke_orbit_code': 4503668531396615, 'n': 32, 'trace_an': 129552384}
  • id: 80306032
    {'hecke_orbit_code': 4503668531396615, 'n': 33, 'trace_an': 0}
  • id: 80306033
    {'hecke_orbit_code': 4503668531396615, 'n': 34, 'trace_an': 0}
  • id: 80306034
    {'hecke_orbit_code': 4503668531396615, 'n': 35, 'trace_an': -151468800}
  • id: 80306035
    {'hecke_orbit_code': 4503668531396615, 'n': 36, 'trace_an': 10501056}
  • id: 80306036
    {'hecke_orbit_code': 4503668531396615, 'n': 37, 'trace_an': -174916888}
  • id: 80306037
    {'hecke_orbit_code': 4503668531396615, 'n': 38, 'trace_an': 0}
  • id: 80306038
    {'hecke_orbit_code': 4503668531396615, 'n': 39, 'trace_an': 489646080}
  • id: 80306039
    {'hecke_orbit_code': 4503668531396615, 'n': 40, 'trace_an': 0}
  • id: 80306040
    {'hecke_orbit_code': 4503668531396615, 'n': 41, 'trace_an': 0}
  • id: 80306041
    {'hecke_orbit_code': 4503668531396615, 'n': 42, 'trace_an': -454406400}
  • id: 80306042
    {'hecke_orbit_code': 4503668531396615, 'n': 43, 'trace_an': 163158248}
  • id: 80306043
    {'hecke_orbit_code': 4503668531396615, 'n': 44, 'trace_an': -309420672}
  • id: 80306044
    {'hecke_orbit_code': 4503668531396615, 'n': 45, 'trace_an': 0}
  • id: 80306045
    {'hecke_orbit_code': 4503668531396615, 'n': 46, 'trace_an': 1007838880}
  • id: 80306046
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    {'hecke_orbit_code': 4503668531396615, 'n': 992, 'trace_an': 0}
  • id: 80306992
    {'hecke_orbit_code': 4503668531396615, 'n': 993, 'trace_an': 0}
  • id: 80306993
    {'hecke_orbit_code': 4503668531396615, 'n': 994, 'trace_an': 172131452486560}
  • id: 80306994
    {'hecke_orbit_code': 4503668531396615, 'n': 995, 'trace_an': -3212236985241600}
  • id: 80306995
    {'hecke_orbit_code': 4503668531396615, 'n': 996, 'trace_an': -2110310995322880}
  • id: 80306996
    {'hecke_orbit_code': 4503668531396615, 'n': 997, 'trace_an': 0}
  • id: 80306997
    {'hecke_orbit_code': 4503668531396615, 'n': 998, 'trace_an': -1961636280198624}
  • id: 80306998
    {'hecke_orbit_code': 4503668531396615, 'n': 999, 'trace_an': 0}
  • id: 80306999
    {'hecke_orbit_code': 4503668531396615, 'n': 1000, 'trace_an': 0}