Newform data - 10.11.c.b

Formats: - HTML - YAML - JSON - 2025-01-23T02:53:39.414808

• 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': 1210, 'analytic_conductor': 6.353572526737241, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 4, 'char_parity': -1, 'char_values': [10, 4, [7], [3]], 'cm_discs': [], 'conrey_index': 3, 'dim': 2, 'field_disc': -4, 'field_disc_factorization': [[-1, 1], [2, 2]], 'field_poly': [1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 4, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [6498, -114, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503737250873354, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 3, -1, 4, 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': '10.11.c.b', 'level': 10, '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': True, 'level_primes': [2, 5], 'level_radical': 10, 'minimal_twist': '10.11.c.b', 'nf_label': '2.0.4.1', 'prim_orbit_index': 3, 'qexp_display': 'q+(16 i+16)q^{2}+(-57 i+57)q^{3}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '10.2.3.c4', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '10.11.c', 'trace_display': [32, 114, 5850, 13906], 'trace_hash': 272124054688306506, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.962', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '11.466', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '95.358', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.246', 'prec': 17}, 'traces': [2, 32, 114, 0, 5850, 3648, 13906, -16384, 0, 58400, 150484, 58368, 219714, 0, 458850, -524288, -3057854, -1681632, 0, -1126400, 1585284, 2407744, -1424846, 0, 14691250, 7030848, 12722400, -7119872, 0, 10670400, -58161436, -8388608, 8577588, 0, 25378450, -53812224, -1823694, 129237760, 0, -65945600, -327891356, 25364544, 236845554, 0, -115612200, -45595072, 552640626, -29884416, 0, 29140000, -348595356, 112493568, 616920194, 0, 440165700, -227835904, -460409520, -14275840, 0, 106521600, -2707220076, -930582976, -730774206, 0, 884348850, 274482816, 1707141826, 1565621248, 0, -489491200, 5654029124, -860995584, -5506594366, 0, 1570991250, 4135608320, 1046315252, 400758336, 0, -1533542400, -4755814398, -5246261696, 2692678194, 0, -5580583550, 7579057728, 50857680, -1232764928, 0, -6768568800, 3055342884, -729521152, -3315201852, 0, 8885096000, -956301312, -1053125694, 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• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1, 0], [16, 16], [57, -57], [0, 512], [2925, 1100], [1824, 0], [6953, 6953], [-8192, 8192], [0, 52551], [29200, 64400], [75242, 0], [29184, 29184], [109857, -109857], [0, 222496], [229425, -104025], [-262144, 0], [-1528927, -1528927], [-840816, 840816], [0, -4038680], [-563200, 1497600], [792642, 0], [1203872, 1203872], [-712423, 712423], [0, 933888], [7345625, 6435000], [3515424, 0], [6361200, 6361200], [-3559936, 3559936], [0, 446120], [5335200, 2006400], [-29080718, 0], [-4194304, -4194304], [4288794, -4288794], [0, -48925664], [12689225, 27985825], [-26906112, 0], [-911847, -911847], [64618880, -64618880], [0, -12523698], [-32972800, 14950400], [-163945678, 0], [12682272, 12682272], [118422777, -118422777], [0, 38523904], [-57806100, 153711675], [-22797536, 0], [276320313, 276320313], [-14942208, 14942208], [0, -185786831], [14570000, 220490000], [-174297678, 0], [56246784, 56246784], [308460097, -308460097], [0, 203558400], [220082850, 82766200], [-113917952, 0], [-230204760, -230204760], [-7137920, 7137920], [0, -940888360], [53260800, 117465600], [-1353610038, 0], [-465291488, -465291488], [-365387103, 365387103], [0, -134217728], [442174425, -200489025], [137241408, 0], [853570913, 853570913], [782810624, -782810624], [0, 81216222], [-244745600, 650800800], [2827014562, 0], [-430497792, -430497792], [-2753297183, 2753297183], [0, -29179104], [785495625, -51905625], [2067804160, 0], [523157626, 523157626], [200379168, -200379168], [0, 3324500640], [-766771200, -288358400], [-2377907199, 0], [-2623130848, -2623130848], [1346339097, -1346339097], [0, 405832704], [-2790291775, -6153931175], [3789528864, 0], [25428840, 25428840], [-616382464, 616382464], [0, -2667450320], [-3384284400, 1534489200], [1527671442, 0], [-364760576, -364760576], [-1657600926, 1657600926], [0, 8842250016], [4442548000, -11813139000], [-478150656, 0], [-526562847, -526562847], [2972589296, -2972589296], [0, 3954042342], [-3294720000, 3760960000]], 'ap': [[16, 16], [57, -57], [2925, 1100], [6953, 6953], [75242, 0], [109857, -109857], [-1528927, -1528927], [0, -4038680], [-712423, 712423], [0, 446120], [-29080718, 0], [-911847, -911847], [-163945678, 0], [118422777, -118422777], [276320313, 276320313], [308460097, -308460097], [0, -940888360], [-1353610038, 0], [853570913, 853570913], [2827014562, 0], [-2753297183, 2753297183], [0, 3324500640], [1346339097, -1346339097], [0, -2667450320], [-526562847, -526562847], [1450352122, 0], [-6946295783, 6946295783], [11347640273, 11347640273], [0, -1871977240], [-1419237983, 1419237983], [-20920923847, -20920923847], [-47096289478, 0], [53630232273, 53630232273], [0, -2601608200], [0, 7572708600], [-40194347198, 0], [-48907623447, -48907623447], [-4657463623, 4657463623], [-58658976887, -58658976887], [-106769168863, 106769168863], [0, 246435500200], [120624531482, 0], [296325182962, 0], [-31446986943, 31446986943], [-37805903367, -37805903367], [0, -282326186640], [-248218914598, 0], [429371807097, 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0], [-45160864071263, 45160864071263], [49133242282553, 49133242282553], [53410666420857, -53410666420857], [-193717020813798, 0], [114089807012042, 0], [0, -299855867654600], [0, 98148043190240], [9017796729033, 9017796729033], [-222715377039263, 222715377039263], [0, -48829642490680], [249851326504057, -249851326504057], [199588025877522, 0], [55226254419033, 55226254419033], [-28039663665358, 0], [0, 129006345917120], [109208772611937, -109208772611937], [288376291270273, 288376291270273], [-245302845038007, -245302845038007], [0, -29162284439600], [284390883502442, 0], [-209755340979718, 0], [106255049035097, -106255049035097], [371353220550993, 371353220550993], [0, -310525596145720], [0, 417805708554160], [-542340616707743, 542340616707743], [-219826310387727, -219826310387727], [0, 331147778637080], [528471960225497, -528471960225497], [700963333851273, 700963333851273], [24709332811202, 0], [-188709623572103, 188709623572103], [-188829735496887, -188829735496887], [-688961060734127, -688961060734127], [316488218531602, 0], [0, -709096902650800], [0, -696189745107040], [702940174325713, 702940174325713], [448743411217482, 0], [725276278940353, 725276278940353], [488196424807137, -488196424807137], [-494496524787767, -494496524787767], [-174459439211798, 0], [588002341648833, 588002341648833], [-962314168874183, 962314168874183], [556497356294002, 0], [-816894351231527, -816894351231527]], 'char_orbit_index': 3, 'field_poly': [1, 0, 1], 'hecke_orbit_code': 4503737250873354, 'hecke_ring_character_values': [[7, [0, 1]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 2, 'label': '10.11.c.b', 'level': 10, 'maxp': 997, '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': 1210, 'analytic_conductor': 6.353572526737241, 'char_conductor': 5, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 4, 'char_parity': -1, 'char_values': [10, 4, [7], [3]], 'conrey_index': 3, 'cusp_dim': 26, 'dim': 10, 'eis_dim': 8, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 137623502858, 'hecke_orbit_dims': [2, 2, 6], 'label': '10.11.c', 'level': 10, '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': True, 'level_primes': [2, 5], 'level_radical': 10, 'mf_dim': 34, 'mf_new_dim': 10, 'num_forms': 3, 'prim_orbit_index': 3, 'relative_dim': 5, 'sturm_bound': 16, 'trace_bound': 3, 'trace_display': [-32, -124, 7560, 10604], 'traces': [10, -32, -124, 0, 7560, -12160, 10604, 16384, 0, -94880, 451520, -63488, -988434, 0, 3637820, -2621440, -52906, -7111648, 0, 4183040, 20016320, -13506304, 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141505333248256, 948224277608236, 0, 1522748109879210, 6763173478028800, -1014522988457232, 162601979965440, 0, -890045072101120, 9849996230338120, 973668180033536, 710851792111472, 0, 3850838296386000, -145966533181440, -399616514478626, -3439460216666240, 0, -1757848696832000], 'weight': 11, 'weight_parity': -1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 6719
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '10.11.c.b', 'source_level': 10, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '10.11.c.b', 'target_level': 10, 'twist_class_label': '10.11.c.b', 'twist_class_level': 10, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 11}
  • id: 6720
    {'conductor': 5, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '10.11.c.b', 'source_level': 10, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '10.11.c.b', 'target_level': 10, 'twist_class_label': '10.11.c.b', 'twist_class_level': 10, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 11}
  • id: 6721
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '10.11.c.b', 'source_level': 10, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '50.11.c.b', 'target_level': 50, 'twist_class_label': '10.11.c.b', 'twist_class_level': 10, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 11}
  • id: 6722
    {'conductor': 5, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '10.11.c.b', 'source_level': 10, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '50.11.c.b', 'target_level': 50, 'twist_class_label': '10.11.c.b', 'twist_class_level': 10, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 11}
  • id: 6723
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '10.11.c.b', 'source_level': 10, 'target_char_orbit': 16, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '80.11.p.a', 'target_level': 80, 'twist_class_label': '10.11.c.b', 'twist_class_level': 10, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 11}
  • id: 6724
    {'conductor': 20, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '10.11.c.b', 'source_level': 10, 'target_char_orbit': 16, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '80.11.p.a', 'target_level': 80, 'twist_class_label': '10.11.c.b', 'twist_class_level': 10, 'twisting_char_label': '20.e', 'twisting_char_orbit': 5, 'weight': 11}
  • id: 6725
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '10.11.c.b', 'source_level': 10, 'target_char_orbit': 7, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '90.11.g.a', 'target_level': 90, 'twist_class_label': '10.11.c.b', 'twist_class_level': 10, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 11}
  • id: 6726
    {'conductor': 15, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '10.11.c.b', 'source_level': 10, 'target_char_orbit': 7, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '90.11.g.a', 'target_level': 90, 'twist_class_label': '10.11.c.b', 'twist_class_level': 10, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 11}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 44050
    {'charpoly_factorization': [[[512, -32, 1], 1]], 'hecke_orbit_code': 4503737250873354, 'p': 2}
  • id: 44051
    {'charpoly_factorization': [[[6498, -114, 1], 1]], 'hecke_orbit_code': 4503737250873354, 'p': 3}
  • id: 44052
    {'charpoly_factorization': [[[9765625, -5850, 1], 1]], 'hecke_orbit_code': 4503737250873354, 'p': 5}
  • id: 44053
    {'charpoly_factorization': [[[96688418, -13906, 1], 1]], 'hecke_orbit_code': 4503737250873354, 'p': 7}
  • id: 44054
    {'charpoly_factorization': [[[-75242, 1], 2]], 'hecke_orbit_code': 4503737250873354, 'p': 11}
  • id: 44055
    {'charpoly_factorization': [[[24137120898, -219714, 1], 1]], 'hecke_orbit_code': 4503737250873354, 'p': 13}
  • id: 44056
    {'charpoly_factorization': [[[4675235542658, 3057854, 1], 1]], 'hecke_orbit_code': 4503737250873354, 'p': 17}
  • id: 44057
    {'charpoly_factorization': [[[16310936142400, 0, 1], 1]], 'hecke_orbit_code': 4503737250873354, 'p': 19}
  • id: 44058
    {'charpoly_factorization': [[[1015093061858, 1424846, 1], 1]], 'hecke_orbit_code': 4503737250873354, 'p': 23}
  • id: 44059
    {'charpoly_factorization': [[[199023054400, 0, 1], 1]], 'hecke_orbit_code': 4503737250873354, 'p': 29}
  • id: 44060
    {'charpoly_factorization': [[[29080718, 1], 2]], 'hecke_orbit_code': 4503737250873354, 'p': 31}
  • id: 44061
    {'charpoly_factorization': [[[1662929902818, 1823694, 1], 1]], 'hecke_orbit_code': 4503737250873354, 'p': 37}
  • id: 44062
    {'charpoly_factorization': [[[163945678, 1], 2]], 'hecke_orbit_code': 4503737250873354, 'p': 41}
  • id: 44063
    {'charpoly_factorization': [[[28047908224783458, -236845554, 1], 1]], 'hecke_orbit_code': 4503737250873354, 'p': 43}
  • id: 44064
    {'charpoly_factorization': [[[152705830752835938, -552640626, 1], 1]], 'hecke_orbit_code': 4503737250873354, 'p': 47}
  • id: 44065
    {'charpoly_factorization': [[[190295262882498818, -616920194, 1], 1]], 'hecke_orbit_code': 4503737250873354, 'p': 53}
  • id: 44066
    {'charpoly_factorization': [[[885270905983489600, 0, 1], 1]], 'hecke_orbit_code': 4503737250873354, 'p': 59}
  • id: 44067
    {'charpoly_factorization': [[[1353610038, 1], 2]], 'hecke_orbit_code': 4503737250873354, 'p': 61}
  • id: 44068
    {'charpoly_factorization': [[[1457166607039307138, -1707141826, 1], 1]], 'hecke_orbit_code': 4503737250873354, 'p': 67}
  • id: 44069
    {'charpoly_factorization': [[[-2827014562, 1], 2]], 'hecke_orbit_code': 4503737250873354, 'p': 71}
  • id: 44070
    {'charpoly_factorization': [[[15161290755831470978, 5506594366, 1], 1]], 'hecke_orbit_code': 4503737250873354, 'p': 73}
  • id: 44071
    {'charpoly_factorization': [[[11052304505360409600, 0, 1], 1]], 'hecke_orbit_code': 4503737250873354, 'p': 79}
  • id: 44072
    {'charpoly_factorization': [[[3625257928221550818, -2692678194, 1], 1]], 'hecke_orbit_code': 4503737250873354, 'p': 83}
  • id: 44073
    {'charpoly_factorization': [[[7115291209668102400, 0, 1], 1]], 'hecke_orbit_code': 4503737250873354, 'p': 89}
  • id: 44074
    {'charpoly_factorization': [[[554536863681490818, 1053125694, 1], 1]], 'hecke_orbit_code': 4503737250873354, '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': 3, 'hecke_orbit': 2, 'label': '10.11.c.b', 'level': 10, 'portrait': 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', 'weight': 11}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 21298909
    {'hecke_orbit_code': 4503737250873354, 'n': 1, 'trace_an': 2}
  • id: 21298910
    {'hecke_orbit_code': 4503737250873354, 'n': 2, 'trace_an': 32}
  • id: 21298911
    {'hecke_orbit_code': 4503737250873354, 'n': 3, 'trace_an': 114}
  • id: 21298912
    {'hecke_orbit_code': 4503737250873354, 'n': 4, 'trace_an': 0}
  • id: 21298913
    {'hecke_orbit_code': 4503737250873354, 'n': 5, 'trace_an': 5850}
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