Newform data - 1800.4.a.bc

Formats: - HTML - YAML - JSON - 2024-04-20T03:07:08.130008

• 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
  conrey_indexes	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_prime	boolean
  level_is_prime_power	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': 28800, 'analytic_conductor': 106.2034380103331, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, 1], [5, 1]], 'atkin_lehner_string': '-++', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [1800, 1, [1351, 901, 1001, 577], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[7, [-18, 1]], [11, [34, 1]], [17, [102, 1]]], 'hecke_orbit': 29, 'hecke_orbit_code': 126100789633484552, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1800.4.a.bc', 'level': 1800, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'minimal_twist': '360.4.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+18q^{7}-34q^{11}-12q^{13}-102q^{17}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1800.4.a', 'trace_display': [0, 0, 0, 18], 'trace_hash': 1241415867779406558, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.973', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.897', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.638', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.003', 'prec': 17}, 'traces': [1, 0, 0, 0, 0, 0, 18, 0, 0, 0, -34, 0, -12, 0, 0, 0, -102, 0, 164, 0, 0, 0, 48, 0, 0, 0, 0, 0, -146, 0, 100, 0, 0, 0, 0, 0, -328, 0, 0, 0, 288, 0, -120, 0, 0, 0, 16, 0, -19, 0, 0, 0, -126, 0, 0, 0, 0, 0, -642, 0, 602, 0, 0, 0, 0, 0, -436, 0, 0, 0, -652, 0, -1062, 0, 0, 0, -612, 0, 388, 0, 0, 0, -444, 0, 0, 0, 0, 0, 820, 0, -216, 0, 0, 0, 0, 0, 766, 0, 0, 0, 798, 0, 402, 0, 0, 0, 1444, 0, -198, 0, 0, 0, -2010, 0, 0, 0, 0, 0, -1836, 0, -175, 0, 0, 0, 0, 0, 866, 0, 0, 0, 2098, 0, 2952, 0, 0, 0, 886, 0, -500, 0, 0, 0, 408, 0, 0, 0, 0, 0, -2302, 0, -2384, 0, 0, 0, 0, 0, -1452, 0, 0, 0, 864, 0, -604, 0, 0, 0, -664, 0, -2053, 0, 0, 0, -4118, 0, 0, 0, 0, 0, -1746, 0, -1270, 0, 0, 0, 0, 0, 3468, 0, 0, 0, -2676, 0, 3146, 0, 0, 0, -3674, 0, -1392, 0, 0, 0, -2628, 0, 0, 0, 0, 0, -5576, 0, -540, 0, 0, 0, 0, 0, 1800, 0, 0, 0, 1224, 0, -4166, 0, 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-72240, 0, 0, 0, 213856, 0, 232152, 0, 0, 0, 85934, 0, 0, 0, 0, 0, 31536, 0, -82000, 0, 0, 0, 0, 0, -173366, 0, 0, 0, -196588, 0, 239832, 0, 0, 0, 159146, 0, -207604, 0, 0, 0, 57752, 0, 0, 0, 0, 0, 148104, 0, -88900, 0, 0, 0, 0, 0, 63832, 0, 0, 0, 111456, 0, -41336, 0, 0, 0, -1816, 0, 67118, 0, 0, 0, 44042, 0, 0, 0, 0, 0, 250790, 0, 348336, 0, 0, 0, 0, 0, 148604, 0, 0, 0, 19472, 0, -162370, 0, 0, 0, 66912, 0, 55480, 0, 0, 0, -36396, 0, 0, 0, 0, 0, 205512, 0, -12900, 0, 0, 0, 0, 0, -88128, 0, 0, 0, -29046, 0, 6480, 0, 0, 0, -125568, 0, -133490, 0, 0, 0, 94318, 0, 0, 0, 0, 0, 82000, 0, -217396, 0, 0, 0, 0, 0, 140138, 0, 0, 0, 61608, 0, -10272, 0, 0, 0, -117834, 0, -141408, 0, 0, 0, -8400, 0, 0, 0, 0, 0, 144870, 0, -21748, 0, 0, 0, 0, 0, -99784, 0, 0, 0, -117900, 0, -51452, 0, 0, 0, -20664, 0, -133001, 0, 0, 0, -111836, 0, 0, 0, 0, 0, -62398, 0, -21600, 0, 0, 0, 0, 0, -63308, 0, 0, 0, -377528, 0, 126662, 0, 0, 0, -282754, 0, 67728, 0, 0, 0, -178100, 0, 0, 0, 0, 0, 200736, 0, -222212, 0, 0, 0, 0, 0, -186222, 0, 0, 0, -36706, 0, -113580, 0, 0, 0, 9632, 0, -390976, 0, 0, 0, 209406, 0, 0, 0, 0, 0, -192552, 0, 52320, 0, 0, 0, 0, 0, -35182, 0, 0, 0, 12198, 0, 221136, 0, 0, 0, 104678, 0, 49992, 0, 0, 0, 94376, 0, 0, 0, 0, 0, -73934, 0, -187776, 0, 0, 0, 0, 0, -27660, 0, 0, 0, 41568, 0, -127264, 0, 0, 0, -29224, 0, -116508, 0, 0, 0, 240516, 0, 0, 0, 0, 0, -288174, 0, 420036, 0, 0, 0, 0, 0, -92628, 0, 0, 0, 60288, 0, -125518, 0, 0, 0, -163410, 0, 282132, 0, 0, 0, 101588, 0, 0, 0, 0, 0, 18160, 0, 169292, 0, 0, 0, 0, 0, -53448, 0, 0, 0, -62832, 0, -238128, 0, 0, 0, -58692, 0, -11438, 0, 0, 0, -305856, 0, 0, 0, 0, 0, 119648, 0], 'weight': 4, 'weight_parity': 1}
• 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], [0], [0], [0], [0], [18], [0], [0], [0], [-34], [0], [-12], [0], [0], [0], [-102], [0], [164], [0], [0], [0], [48], [0], [0], [0], [0], [0], [-146], [0], [100], [0], [0], [0], [0], [0], [-328], [0], [0], [0], [288], [0], [-120], [0], [0], [0], [16], [0], [-19], [0], [0], [0], [-126], [0], [0], [0], [0], [0], [-642], [0], [602], [0], [0], [0], [0], [0], [-436], [0], [0], [0], [-652], [0], [-1062], [0], [0], [0], [-612], [0], [388], [0], [0], [0], [-444], [0], [0], [0], [0], [0], [820], [0], [-216], [0], [0], [0], [0], [0], [766], [0], [0], [0]], 'ap': [[0], [0], [0], [18], [-34], [-12], [-102], [164], [48], [-146], [100], [-328], [288], [-120], [16], [-126], [-642], [602], [-436], [-652], [-1062], [388], [-444], [820], [766], [798], [402], [1444], [-198], [-2010], [866], [2098], [886], [-500], [-2302], [-2384], [-1452], [-604], [-664], [-4118], [-1746], [-1270], [-2676], [3146], [-3674], [-1392], [-540], [-4166], [-5024], [4454], [-1526], [-6828], [5782], [6394], [1862], [-6504], [-8298], [1848], [-2824], [1940], [-6548], [6566], [-8432], [4916], [10106], [3382], [-6460], [-5294], [-12096], [-862], [-6878], [-6216], [13274], [-1300], [13324], [6192], [-2022], [-7856], [-1148], [-6310], [13362], [-5146], [6368], [6138], [-4424], [-488], [-16884], [5398], [6122], [-8162], [-2660], [-9788], [-4714], [6690], [-20636], [15952], [2230], [-1260], [-2900], [19554], [-2664], [-11358], [-2440], [24156], [-2220], [5782], [1684], [15246], [-9016], [-18682], [22022], [22808], [-9422], [4172], [-11572], [936], [-15892], [25056], [4054], [-6758], [25098], [-2830], [10654], [17156], [-812], [30270], [-394], [37224], [12614], [25664], [-18772], [-19376], [30092], [-18136], [-10948], [1422], [26142], [-23404], [1418], [17304], [-28012], [-32266], [-4962], [5064], [-8174], [28240], [-10472], [-32102], [-11060], [36088], [34508], [6596], [-17620], [-50784], [-16072], [41760], [34100], [22812], [38982], [-52766], [13608], [6446], [42642], [19938], [49754], [7936], [-33248], [20196], [1510], [52290], [-5954], [-34610], [36888], [24946], [-2748], [-3676], [15796], [8794], [47950], [-56162], [24022], [-63190], [-42232], [25014], [-46888], [-23406], [-484], [-6860], [-61594], [54596], [17138], [40488], [25380], [58906], [13476], [-46162], [-5662], [-47756], [38878], [-26904], [30634], [58916], [48476], [41166], [-74850], [25150], [-38204], [-4152], [5604], [-1148], [71810], [2898], [-50870], [38504], [40452], [28674], [-56342], [20708], [50736], [-25518], [-46162], [65320], [-22472], [103070], [-19292], [78030], [-74898], [-76104], [44966], [-75546], [15172], [-71308], [33896], [-11108], [9172], [-76920], [-35422], [-50882], [-79618], [46132], [26608], [5068], [9070], [-20830], [29938], [-70044], [83786], [36102], [-33500], [48256], [-14688], [31488], [-74688], [-53534], [-87446], [-106758], [-96262], [-26156], [91154], [101258], [-127774], [65904], [286], [15168], [-59082], [-23204], [95730], [82296], [139372], [36510], [-57954], [-12448], [-19582], [-3524], [88850], [21082], [25872], [-78166], [-110054], [-33366], [-22464], [-7672], [-143232], [-77866], [-104608], [-13724], [-77034], [-57810], [142176], [-83728], [-28534], [56348], [-99678], [-32418], [-86600], [116994], [-126956], [-35886], [50166], [-134272], [-32398], [-26730], [111336], [57564], [42676], [-67714], [31828], [126494], [-40956], [-169556], [-174216], [-79106], [-54380], [-93592], [162208], [98838], [-7482], [-60100], [121730], [41224], [79236], [59946], [161446], [-186434], [191946], [99862], [-79732], [-8416], [-49736], [107058], [-84730], [-105630], [178388], [55308], [-49196], [-90396], [152822], [-3654], [11514], [129090], [-181148], [-141526], [132534], [141864], [41754], [193094], [21110], [-18480], [-32196], [97682], [-168012], [-140330], [-135866], [-23846], [-31238], [-146702], [117936], [80526], [9838], [192536], [62900], [-77040], [171912], [178366], [-232004], [81006], [-122614], [-44566], [87990], [-23018], [-94228], [212080], [128462], [-176840], [141664], [101190], [-20088], [81718], [-47604], [138574], [90874], [85934], [-173366], [159146], [-207604], [57752], [-88900], [63832], [-41336], [-1816], [67118], [44042], [250790], [148604], [19472], [-162370], [55480], [205512], [-12900], [-29046], [-133490], [94318], [140138], [-117834], [144870], [-21748], [-99784], [-117900], [-51452], [-62398], [126662], [-282754], [-178100], [-222212], [-186222], [-36706], [-192552], [-35182], [104678], [94376], [-73934], [-27660], [-29224], [-288174], [-125518], [-163410], [101588], [18160], [169292], [119648]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 126100789633484552, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '1800.4.a.bc', 'level': 1800, 'maxp': 2999, 'weight': 4}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  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_prime	boolean
  level_is_prime_power	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

  
  {'AL_dims': [[[[2, 1], [3, -1], [5, 1]], 9, 8], [[[2, -1], [3, -1], [5, -1]], 11, 8], [[[2, 1], [3, -1], [5, -1]], 12, 9], [[[2, -1], [3, 1], [5, 1]], 7, 5], [[[2, -1], [3, 1], [5, -1]], 7, 2], [[[2, 1], [3, 1], [5, -1]], 7, 2], [[[2, 1], [3, 1], [5, 1]], 7, 5], [[[2, -1], [3, -1], [5, 1]], 11, 10]], 'ALdims': [7, 7, 9, 12, 7, 7, 11, 11], 'Nk2': 28800, 'analytic_conductor': 106.2034380103331, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [1800, 1, [1351, 901, 1001, 577], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1032, 'dim': 71, 'eis_dim': 96, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11, 17], 'hecke_orbit_code': 67110664, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4], 'label': '1800.4.a', 'level': 1800, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'mf_dim': 1128, 'mf_new_dim': 71, 'num_forms': 49, 'plus_dim': 37, 'prim_orbit_index': 1, 'relative_dim': 71, 'sturm_bound': 1440, 'trace_bound': 17, 'trace_display': [0, 0, 0, -12], 'traces': [71, 0, 0, 0, 0, 0, -12, 0, 0, 0, -22, 0, -2, 0, 0, 0, -46, 0, 46, 0, 0, 0, 28, 0, 0, 0, 0, 0, 50, 0, -100, 0, 0, 0, 0, 0, -178, 0, 0, 0, -16, 0, -400, 0, 0, 0, 52, 0, 3527, 0, 0, 0, -594, 0, 0, 0, 0, 0, -252, 0, -1446, 0, 0, 0, 0, 0, -304, 0, 0, 0, -136, 0, 634, 0, 0, 0, 32, 0, 1172, 0, 0, 0, 1040, 0, 0, 0, 0, 0, -2772, 0, 2768, 0, 0, 0, 0, 0, -862, 0, 0, 0, 126, 0, 204, 0, 0, 0, -336, 0, -1046, 0, 0, 0, -2742, 0, 0, 0, 0, 0, 2172, 0, 6337, 0, 0, 0, 0, 0, 1532, 0, 0, 0, 900, 0, 4464, 0, 0, 0, 2338, 0, -3362, 0, 0, 0, 7312, 0, 0, 0, 0, 0, -2286, 0, -60, 0, 0, 0, 0, 0, 1974, 0, 0, 0, 6584, 0, -2968, 0, 0, 0, -3084, 0, 11985, 0, 0, 0, -8266, 0, 0, 0, 0, 0, 4706, 0, 3922, 0, 0, 0, 0, 0, 2360, 0, 0, 0, -10668, 0, 9434, 0, 0, 0, 3358, 0, -10192, 0, 0, 0, 13808, 0, 0, 0, 0, 0, 3058, 0, 6962, 0, 0, 0, 0, 0, -2816, 0, 0, 0, 17652, 0, -6524, 0, 0, 0, -2688, 0, 3142, 0, 0, 0, -17238, 0, 0, 0, 0, 0, 8576, 0, 3008, 0, 0, 0, 0, 0, 8040, 0, 0, 0, -10682, 0, 12064, 0, 0, 0, 6282, 0, -64, 0, 0, 0, 26508, 0, 0, 0, 0, 0, 16122, 0, 1636, 0, 0, 0, 0, 0, -9578, 0, 0, 0, 15330, 0, -17536, 0, 0, 0, -16752, 0, 28395, 0, 0, 0, -25058, 0, 0, 0, 0, 0, 3616, 0, -12672, 0, 0, 0, 0, 0, -5584, 0, 0, 0, -13764, 0, 21218, 0, 0, 0, 16182, 0, 11800, 0, 0, 0, 32840, 0, 0, 0, 0, 0, 2112, 0, 3966, 0, 0, 0, 0, 0, -9454, 0, 0, 0, 55740, 0, -26712, 0, 0, 0, -7336, 0, 434, 0, 0, 0, -43006, 0, 0, 0, 0, 0, -68, 0, 17889, 0, 0, 0, 0, 0, 21244, 0, 0, 0, -42848, 0, 26190, 0, 0, 0, 19660, 0, 12058, 0, 0, 0, 56172, 0, 0, 0, 0, 0, 22998, 0, 42356, 0, 0, 0, 0, 0, -3562, 0, 0, 0, 32368, 0, -28944, 0, 0, 0, -44208, 0, -12856, 0, 0, 0, -51056, 0, 0, 0, 0, 0, -43398, 0, -50490, 0, 0, 0, 0, 0, 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0, -356336, 0, -462318, 0, 0, 0, 340470, 0, -993352, 0, 0, 0, 360192, 0, 0, 0, 0, 0, -725236, 0, -889018, 0, 0, 0, 0, 0, -1898444, 0, 0, 0, 1484692, 0, -237592, 0, 0, 0, 444736, 0, -1429630, 0, 0, 0, -1083636, 0, 0, 0, 0, 0, 975188, 0], 'weight': 4, '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: 818799
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 29, 'source_is_minimal': False, 'source_label': '1800.4.a.bc', 'source_level': 1800, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '360.4.a.a', 'target_level': 360, 'twist_class_label': '360.4.a.a', 'twist_class_level': 360, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 4}
  • id: 818800
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 29, 'source_is_minimal': False, 'source_label': '1800.4.a.bc', 'source_level': 1800, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 10, 'target_is_minimal': True, 'target_label': '360.4.a.j', 'target_level': 360, 'twist_class_label': '360.4.a.a', 'twist_class_level': 360, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 4}
  • id: 818801
    {'conductor': 20, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 29, 'source_is_minimal': False, 'source_label': '1800.4.a.bc', 'source_level': 1800, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 13, 'target_is_minimal': False, 'target_label': '720.4.a.m', 'target_level': 720, 'twist_class_label': '360.4.a.a', 'twist_class_level': 360, 'twisting_char_label': '20.d', 'twisting_char_orbit': 4, 'weight': 4}
  • id: 818802
    {'conductor': 60, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 29, 'source_is_minimal': False, 'source_label': '1800.4.a.bc', 'source_level': 1800, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 26, 'target_is_minimal': False, 'target_label': '720.4.a.z', 'target_level': 720, 'twist_class_label': '360.4.a.a', 'twist_class_level': 360, 'twisting_char_label': '60.h', 'twisting_char_orbit': 8, 'weight': 4}
  • id: 818803
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 29, 'source_is_minimal': False, 'source_label': '1800.4.a.bc', 'source_level': 1800, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 29, 'target_is_minimal': False, 'target_label': '1800.4.a.bc', 'target_level': 1800, 'twist_class_label': '360.4.a.a', 'twist_class_level': 360, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 4}
  • id: 818804
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 29, 'source_is_minimal': False, 'source_label': '1800.4.a.bc', 'source_level': 1800, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 31, 'target_is_minimal': False, 'target_label': '1800.4.a.be', 'target_level': 1800, 'twist_class_label': '360.4.a.a', 'twist_class_level': 360, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 4}
  • id: 818805
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 29, 'source_is_minimal': False, 'source_label': '1800.4.a.bc', 'source_level': 1800, 'target_char_orbit': 6, 'target_dim': 2, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '1800.4.f.e', 'target_level': 1800, 'twist_class_label': '360.4.a.a', 'twist_class_level': 360, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 4}
  • id: 818806
    {'conductor': 15, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 29, 'source_is_minimal': False, 'source_label': '1800.4.a.bc', 'source_level': 1800, 'target_char_orbit': 6, 'target_dim': 2, 'target_hecke_orbit': 19, 'target_is_minimal': False, 'target_label': '1800.4.f.s', 'target_level': 1800, 'twist_class_label': '360.4.a.a', 'twist_class_level': 360, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2215975
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 126100789633484552, 'p': 2}
  • id: 2215976
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 126100789633484552, 'p': 3}
  • id: 2215977
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 126100789633484552, 'p': 5}
  • id: 2215978
    {'charpoly_factorization': [[[-18, 1], 1]], 'hecke_orbit_code': 126100789633484552, 'p': 7}
  • id: 2215979
    {'charpoly_factorization': [[[34, 1], 1]], 'hecke_orbit_code': 126100789633484552, 'p': 11}
  • id: 2215980
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 126100789633484552, 'p': 13}
  • id: 2215981
    {'charpoly_factorization': [[[102, 1], 1]], 'hecke_orbit_code': 126100789633484552, 'p': 17}
  • id: 2215982
    {'charpoly_factorization': [[[-164, 1], 1]], 'hecke_orbit_code': 126100789633484552, 'p': 19}
  • id: 2215983
    {'charpoly_factorization': [[[-48, 1], 1]], 'hecke_orbit_code': 126100789633484552, 'p': 23}
  • id: 2215984
    {'charpoly_factorization': [[[146, 1], 1]], 'hecke_orbit_code': 126100789633484552, 'p': 29}
  • id: 2215985
    {'charpoly_factorization': [[[-100, 1], 1]], 'hecke_orbit_code': 126100789633484552, 'p': 31}
  • id: 2215986
    {'charpoly_factorization': [[[328, 1], 1]], 'hecke_orbit_code': 126100789633484552, 'p': 37}
  • id: 2215987
    {'charpoly_factorization': [[[-288, 1], 1]], 'hecke_orbit_code': 126100789633484552, 'p': 41}
  • id: 2215988
    {'charpoly_factorization': [[[120, 1], 1]], 'hecke_orbit_code': 126100789633484552, 'p': 43}
  • id: 2215989
    {'charpoly_factorization': [[[-16, 1], 1]], 'hecke_orbit_code': 126100789633484552, 'p': 47}
  • id: 2215990
    {'charpoly_factorization': [[[126, 1], 1]], 'hecke_orbit_code': 126100789633484552, 'p': 53}
  • id: 2215991
    {'charpoly_factorization': [[[642, 1], 1]], 'hecke_orbit_code': 126100789633484552, 'p': 59}
  • id: 2215992
    {'charpoly_factorization': [[[-602, 1], 1]], 'hecke_orbit_code': 126100789633484552, 'p': 61}
  • id: 2215993
    {'charpoly_factorization': [[[436, 1], 1]], 'hecke_orbit_code': 126100789633484552, 'p': 67}
  • id: 2215994
    {'charpoly_factorization': [[[652, 1], 1]], 'hecke_orbit_code': 126100789633484552, 'p': 71}
  • id: 2215995
    {'charpoly_factorization': [[[1062, 1], 1]], 'hecke_orbit_code': 126100789633484552, 'p': 73}
  • id: 2215996
    {'charpoly_factorization': [[[-388, 1], 1]], 'hecke_orbit_code': 126100789633484552, 'p': 79}
  • id: 2215997
    {'charpoly_factorization': [[[444, 1], 1]], 'hecke_orbit_code': 126100789633484552, 'p': 83}
  • id: 2215998
    {'charpoly_factorization': [[[-820, 1], 1]], 'hecke_orbit_code': 126100789633484552, 'p': 89}
  • id: 2215999
    {'charpoly_factorization': [[[-766, 1], 1]], 'hecke_orbit_code': 126100789633484552, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 1, 'hecke_orbit': 29, 'label': '1800.4.a.bc', 'level': 1800, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 264107000
    {'hecke_orbit_code': 126100789633484552, 'n': 1, 'trace_an': 1}
  • id: 264107001
    {'hecke_orbit_code': 126100789633484552, 'n': 2, 'trace_an': 0}
  • id: 264107002
    {'hecke_orbit_code': 126100789633484552, 'n': 3, 'trace_an': 0}
  • id: 264107003
    {'hecke_orbit_code': 126100789633484552, 'n': 4, 'trace_an': 0}
  • id: 264107004
    {'hecke_orbit_code': 126100789633484552, 'n': 5, 'trace_an': 0}
  • id: 264107005
    {'hecke_orbit_code': 126100789633484552, 'n': 6, 'trace_an': 0}
  • id: 264107006
    {'hecke_orbit_code': 126100789633484552, 'n': 7, 'trace_an': 18}
  • id: 264107007
    {'hecke_orbit_code': 126100789633484552, 'n': 8, 'trace_an': 0}
  • id: 264107008
    {'hecke_orbit_code': 126100789633484552, 'n': 9, 'trace_an': 0}
  • id: 264107009
    {'hecke_orbit_code': 126100789633484552, 'n': 10, 'trace_an': 0}
  • id: 264107010
    {'hecke_orbit_code': 126100789633484552, 'n': 11, 'trace_an': -34}
  • id: 264107011
    {'hecke_orbit_code': 126100789633484552, 'n': 12, 'trace_an': 0}
  • id: 264107012
    {'hecke_orbit_code': 126100789633484552, 'n': 13, 'trace_an': -12}
  • id: 264107013
    {'hecke_orbit_code': 126100789633484552, 'n': 14, 'trace_an': 0}
  • id: 264107014
    {'hecke_orbit_code': 126100789633484552, 'n': 15, 'trace_an': 0}
  • id: 264107015
    {'hecke_orbit_code': 126100789633484552, 'n': 16, 'trace_an': 0}
  • id: 264107016
    {'hecke_orbit_code': 126100789633484552, 'n': 17, 'trace_an': -102}
  • id: 264107017
    {'hecke_orbit_code': 126100789633484552, 'n': 18, 'trace_an': 0}
  • id: 264107018
    {'hecke_orbit_code': 126100789633484552, 'n': 19, 'trace_an': 164}
  • id: 264107019
    {'hecke_orbit_code': 126100789633484552, 'n': 20, 'trace_an': 0}
  • id: 264107020
    {'hecke_orbit_code': 126100789633484552, 'n': 21, 'trace_an': 0}
  • id: 264107021
    {'hecke_orbit_code': 126100789633484552, 'n': 22, 'trace_an': 0}
  • id: 264107022
    {'hecke_orbit_code': 126100789633484552, 'n': 23, 'trace_an': 48}
  • id: 264107023
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