Embedded newform data - 2775.2.a.u.1.2

Formats: - HTML - YAML - JSON - 2026-10-13T09:13:47.222765

• 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': 11100, 'analytic_conductor': 22.158486560905306, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 1], [5, 1], [37, -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': [2775, 1, [926, 1777, 76], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 3, 'field_disc': 257, 'field_disc_factorization': [[257, 1]], 'field_poly': [3, -4, -1, 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': [[2, [-3, -5, 0, 1]], [7, [-1, 7, -6, 1]]], 'hecke_orbit': 21, 'hecke_orbit_code': 90071992580967127, 'hecke_ring_generator_nbound': 2, '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_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '2775.2.a.u', 'level': 2775, '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': [3, 5, 37], 'level_radical': 555, 'minimal_twist': '2775.2.a.u', 'nf_label': '3.3.257.1', 'prim_orbit_index': 1, 'qexp_display': 'q-\\beta _{2}q^{2}-q^{3}+(1+\\beta _{1}-\\beta _{2})q^{4}+\\beta _{2}q^{6}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2775.2.a', 'trace_display': [0, -3, 0, 6], 'trace_hash': 1271697434828755463, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.018', 'prec': 7}, {'__RealLiteral__': 0, 'data': '2.936', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.261', 'prec': 10}, {'__RealLiteral__': 0, 'data': '22.668', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.021', 'prec': 14}, {'__RealLiteral__': 0, 'data': '265.367', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.004', 'prec': 4}, 'traces': [3, 0, -3, 4, 0, 0, 6, 9, 3, 0, 1, -4, 2, 10, 0, 2, 7, 0, -10, 0, -6, 12, 8, -9, 0, -9, -3, 17, 9, 0, 7, 3, -1, -11, 0, 4, 3, 11, -2, 0, -14, -10, 3, -5, 0, 11, 7, -2, 1, 0, -7, -14, -11, 0, 0, 28, 10, 20, -9, 0, -14, -18, 6, -7, 0, -12, -3, 8, -8, 0, 21, 9, 23, 0, 0, -12, 14, 9, -18, 0, 3, -34, -11, -17, 0, -7, -9, 15, 13, 0, -5, 12, -7, -28, 0, -3, 14, 49, 1, 0, 4, 11, -14, -3, 0, -8, 9, -4, -28, 0, -3, 25, 7, -11, 0, 30, 2, 17, 3, 0, 16, -21, 14, -24, 0, 10, 23, -15, -3, 0, 27, 5, -9, 50, 0, 10, 25, -11, -26, 0, -7, 27, 7, 2, 0, 15, -1, 4, -28, 0, -1, -19, 7, 21, 0, 14, 18, 30, 11, 0, 27, 0, -9, -15, 0, 5, 17, -28, -21, 0, -10, -28, 37, -20, 0, 43, 9, -51, 17, 0, 15, -28, 14, 35, 0, 18, -28, -33, -6, 0, -1, 7, -3, 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-60, -27, 78, 0, -14, -26, -93, 81, 0, 117, -30, -164, 84, 0, -26, 192, 47, -23, 0, 80, -84, 12, -14, 0, 6, 23, -25, 29, 0, 23, 21, 87, -117, 0, -43, -117, -62, -57, 0, 91, 47, -46, -71, 0, 37, 129, -80, 223, 0, -49, -77, -246, 12, 0, 165, 1, 69, 66, 0, -141, 44, -63, -50, 0, -17, -27, -43, 9, 0, -11, 0, 150, 50, 0, 40, -21, -1, -50, 0, -5, 139, 3, 37, 0, -115, -23, -41, -50, 0, 132, -39, 64, -20, 0, 4, 167, 47, -67, 0, -98, 15, 42, 112, 0, 23, -68, 34, 18, 0, -57, -140, -21, -1, 0, -27, -36, -28, 66, 0, 200, 3, 10, 181, 0, -61, -175, -103, -13, 0, -122, -4, 27, 59, 0, -37, -180, -70, 89, 0, 25, 8, 0, -88, 0, 21, -96, -36, 111, 0, -123, -156, 3, 81, 0, -88, 25, -19, -11, 0, 51, -8, 38, 105, 0, 117, 81, 39, -181, 0, -55, -84, -50, 36, 0, 74, 29, -120, 122, 0, 35, -118, 46, 6, 0, 14, -7, -22, -3, 0, 241, 2, 72, -111, 0, -46, -159, -42, 3, 0, -89, -79, -218, 2, 0, 3, -61, 14, 114, 0, -93, -98, 3, -78, 0, -17, -12, 78, -135, 0, -212, -49, 78, 116, 0, 73, 137, -62, -95, 0, -54, -3, -231, 109, 0, 128, -4, 12, 80, 0, 16, -120, 63, 77, 0, -100, 259, 90, 3, 0, -168, 41, 54, 14, 0, -44, -126, 7, -8, 0, -9, 41, 34, 47, 0, -89, 8, 116, 86, 0, 82, 9, -12, 100, 0, 27, 36, -78, 144, 0, -107, -49, 41, 135, 0, -38, 252, 10, 125, 0, 9, 90, -98, -9, 0, 106, 114, 159, 149, 0, -53, -11, 50, 3, 0, 34, -101, 151, 3, 0, -66, -44, -228, -153, 0, -87, -48, -38, -14, 0, 4, -122, 222, 66, 0, 45, -53, -18, -35, 0, -33, 12, 62, -58, 0, -126, -67, 146, -63, 0, -201, 74, -36, 39, 0, 154, -222, 28, -26, 0, 124, -3, 200, 14, 0, -49, -76, -40, -214, 0, 197, 139, -11, -12, 0, -14, -81, -97, -15, 0, 80, -26, -167, -21, 0, -67, -31, 33, 151, 0, 39, 33, 171, -58, 0, -70, -174, -68, -35, 0, 62, 36, -53, -99, 0, -29, 161, 13, 124, 0, -45, 3, -7, 187, 0], 'weight': 2, '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], [-0.4643007594590456, 0.0], [-0.5773502691896257, 0.0], [-0.7844248047657535, 0.0], [0.0, 0.0], [0.2680641684586276, 0.0], [0.5077497508306418, 0.0], [0.8285097920502985, 0.0], [0.3333333333333333, 0.0], [0.0, 0.0], [1.2566504170268442, 0.0], [0.4528878721905274, 0.0], [0.9898207893527297, 0.0], [-0.23574859492580813, 0.0], [0.0, 0.0], [0.399747079097544, 0.0], [0.18054139771187658, 0.0], [-0.15476691981968185, 0.0], [-0.40019079936406343, 0.0], [0.0, 0.0], [-0.29314945532303643, 0.0], [-0.5834637430000901, 0.0], [0.8873557644280476, 0.0], [-0.4783403514664807, 0.0], [0.0, 0.0], [-0.45957454422482436, 0.0], [-0.19245008972987526, 0.0], [-0.39829149916518614, 0.0], [0.31322330853664615, 0.0], [0.0, 0.0], [1.4615739260428628, 0.0], [-1.0141126644668232, 0.0], [-0.725527456547704, 0.0], [-0.08382550807142189, 0.0], [0.0, 0.0], [-0.2614749349219178, 0.0], [0.1643989873053573, 0.0], [0.18580889207325718, 0.0], [-0.5714732991822863, 0.0], [0.0, 0.0], [-1.8239620203712683, 0.0], [0.13610951474149136, 0.0], [1.279967465252557, 0.0], [-0.985747758035085, 0.0], [0.0, 0.0], [-0.41199995533430445, 0.0], [1.2827833609930803, 0.0], [-0.23079408372473365, 0.0], [-0.7421901905314212, 0.0], [0.0, 0.0], [-0.10423562456882322, 0.0], [-0.776439979441099, 0.0], [0.20344181757430535, 0.0], [0.08935472281954256, 0.0], [0.0, 0.0], [0.4206756404742859, 0.0], [0.23105026574005355, 0.0], [-0.14542982003383975, 0.0], [-1.4385781444927777, 0.0], [0.0, 0.0], [-0.7168769948113364, 0.0], [-0.6786098838672402, 0.0], [0.16924991694354724, 0.0], [0.07110620119143837, 0.0], [0.0, 0.0], [0.3368629490834886, 0.0], [-0.5232642104264207, 0.0], [-0.14162115065227504, 0.0], [-0.5123150894594994, 0.0], [0.0, 0.0], [-0.20253008485881835, 0.0], [0.2761699306834328, 0.0], [-0.5705038176262002, 0.0], [-0.07633057466017538, 0.0], [0.0, 0.0], [0.3139195896602063, 0.0], [0.6380639361266022, 0.0], [0.2653354868209019, 0.0], [-0.8966794512971946, 0.0], [0.0, 0.0], [0.1111111111111111, 0.0], [0.8468669512828351, 0.0], [0.8299435835557858, 0.0], [0.22995370425895983, 0.0], [0.0, 0.0], [-0.5942898661996318, 0.0], [-0.18083956150009786, 0.0], [1.0411471756908315, 0.0], [0.5693113969139673, 0.0], [0.0, 0.0], [0.5025812591608376, 0.0], [-0.6960638722692372, 0.0], [-0.8438400996413851, 0.0], [-0.5955972887305142, 0.0], [0.0, 0.0], [0.5854982198185291, 0.0], [-0.11551585391511444, 0.0], [0.3445994691267926, 0.0], [0.4188834723422814, 0.0], [0.0, 0.0]], 'angles': [-0.28728807422658387, None, None, -0.20914742647719362, -0.14187036871688855, -0.16760043934674065, -0.23561338782344973, -0.28206260500078495, -0.17683671934022036, -0.22497144752938766, -0.11957664286429916, None, -0.4327237894634504, -0.13947053751885843, -0.1391786887304928, -0.23378256476580234, -0.37776615577515815, -0.30834536036737054, -0.29213035431800743, -0.2661445052575769, -0.29603863047509965, -0.3239922563062321, -0.18189572197196127, -0.20406036351930437, -0.2591975782398632, -0.11366962130379016, -0.32786196714836646, -0.21657282957946505, -0.25267613184874815, -0.14619083609894423, -0.07730430099738538, -0.300191093869998, -0.20812937383417465, -0.3780745543234106, -0.19440496934582835, -0.071730810990231, -0.05801992803741573, -0.2864502284786249, -0.28866760621233944, -0.27054043183239396, -0.10262375232008221, -0.20829810298186646, -0.2702724477849977, -0.2482056833292041, -0.2561251252534324, -0.26524776269752104, -0.44670765508584365, -0.3068674128546051, -0.3573396268716655, -0.18661910258829448, -0.3041497794620012, -0.26041779796386205, -0.09199513044680309, -0.21032777553030257, -0.18307893609949635, -0.15214491470456692, -0.183485798413409, -0.3647652748713824, -0.38320366357587654, -0.23373248202413843, -0.3214331907263365, -0.06734507547896879, -0.23045120232216532, -0.1805756114552846, -0.27729167757923323, -0.21252100864988327, -0.3386107485903685, -0.22977124342626387, -0.19254054777771695, -0.19728729384405225, -0.43034105621535346, -0.12128822460913939, -0.3974767997393492, -0.13655398799182505, -0.3699993225494294, -0.1750365196652213, -0.22442852128611898, -0.39133432014192077, -0.3206058601611212, -0.24898380145696394, -0.21987743289930906, -0.22384204638781396, -0.21162440053307582, -0.2914101605318523, -0.27546569824389894, -0.30388720984043954, -0.16555313803097607, -0.16151886827815817, -0.32410529171184066, -0.2279916671121274, -0.25746879536083667, -0.04107187176933587, -0.22664464096709525, -0.18730542152855817, -0.13278144215888973, -0.3141391890482083, -0.2607232175958751, -0.36379523941001074, -0.1774591840905005, -0.38414744094315895], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': -1.9122291784843966, 'hecke_orbit': 21, 'hecke_orbit_code': 90071992580967127, 'label': '2775.2.a.u.1.2', 'level': 2775, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'ALdims': [13, 14, 18, 12, 17, 10, 10, 20], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [2, 3, 3, 3, 3, 3, 3, 3], 'ALdims_old': [27, 37, 31, 33, 36, 31, 33, 27], 'Nk2': 11100, 'analytic_conductor': 22.158486560905306, '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': [2775, 1, [926, 1777, 76], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 369, 'dim': 114, 'eis_dim': 23, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 7], 'hecke_orbit_code': 33557207, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 4, 4, 4, 5, 5, 5, 5, 5, 6, 6, 13, 13], 'label': '2775.2.a', 'level': 2775, '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': [3, 5, 37], 'level_radical': 555, 'mf_dim': 392, 'mf_new_dim': 114, 'num_forms': 34, 'plus_dim': 45, 'prim_orbit_index': 1, 'relative_dim': 114, 'sturm_bound': 760, 'trace_bound': 7, 'trace_display': [0, 0, 0, 8], 'traces': [114, 0, 0, 118, 0, 6, 8, 12, 114, 0, 0, 8, -4, 20, 0, 150, -8, 0, 20, 0, 0, 8, 12, 6, 0, 8, 0, 16, 0, 0, 12, 24, 16, 20, 0, 118, -2, -28, 8, 0, -12, -12, 12, 16, 0, -40, -8, 8, 114, 0, 8, 4, -36, 6, 0, 64, -4, -28, 16, 0, 4, 68, 8, 190, 0, -8, 40, -44, 24, 0, 24, 12, 12, 0, 0, 76, 24, -4, 36, 0, 114, 16, 32, -16, 0, 52, 16, -24, 4, 0, 32, 128, -4, -64, 0, -42, 12, -8, 0, 0, 4, 0, 12, 64, 0, 56, -16, 8, 36, 0, 8, 112, -28, -36, 0, 60, -4, -8, -20, 0, 82, 80, -40, -20, 0, 20, 48, -8, 12, 0, 0, 32, 16, 84, 0, 36, -68, 0, -64, 0, 40, 24, -16, 150, 0, 52, 48, -6, -52, 0, -88, -36, -8, 24, 0, 72, 36, 4, -56, 0, -76, 0, 4, -4, 0, 64, -48, -24, 118, 0, 20, 36, -28, 48, 0, 192, -20, -28, 68, 0, -12, 40, 16, -96, 0, -20, -48, -104, 0, 0, -48, 48, -20, -224, 0, 38, -68, 8, 4, 0, 24, 64, -76, -20, 0, -52, 12, -4, -120, 0, -16, -4, 40, -32, 0, 6, -32, 32, -8, 0, 0, -6, -24, -4, 0, -12, -12, -4, 36, 0, -112, -4, -124, 8, 0, -84, -4, -88, 76, 0, 52, 96, 0, -52, 0, -100, 0, 204, 48, 0, -52, 16, 8, 8, 0, 158, 12, -52, 16, 0, 0, -80, 128, -64, 0, -128, -12, 152, 116, 0, 8, -116, 56, 64, 0, 28, 60, -28, 12, 0, -116, 0, -68, -272, 0, -8, 16, 24, 46, 0, 40, -108, 12, 6, 0, 0, 16, -152, 16, 0, 136, -16, -8, -108, 0, 20, 16, -80, 4, 0, -28, -12, 52, -84, 0, 140, 36, -36, -40, 0, -16, -80, 160, 118, 0, -244, -16, -48, -160, 0, -116, -192, -2, -376, 0, -64, -132, -40, -52, 0, -88, -28, 40, -100, 0, -344, 24, -20, -20, 0, 8, -40, -112, -160, 0, -160, 4, -72, -8, 0, -30, -36, -48, -88, 0, -60, 8, 248, -12, 0, 88, 36, 44, -168, 0, -344, -152, -12, -48, 0, 0, 120, 80, -22, 0, 64, 12, -196, 68, 0, -96, -196, -4, 232, 0, 16, -76, -116, 104, 0, 120, -68, 192, -44, 0, -8, 8, -72, 52, 0, -168, -36, 52, -40, 0, -8, 8, 8, 328, 0, -4, -120, -8, 72, 0, -152, -64, -16, -40, 0, 204, 8, 116, -328, 0, -124, 72, 48, 28, 0, 114, 96, 168, 16, 0, 120, -48, 280, 80, 0, -16, 16, 72, -272, 0, 124, 20, -80, 8, 0, 52, -40, 84, 180, 0, 24, -48, 4, 0, 0, 24, 48, 136, -92, 0, 52, -36, -40, -208, 0, 20, -56, -52, 126, 0, 6, -60, 112, 100, 0, -224, 24, -160, -160, 0, -164, 152, -40, 92, 0, 36, -48, 160, 64, 0, -64, 0, 104, 52, 0, -120, 176, -4, 4, 0, -100, 120, -28, -120, 0, 108, -28, -148, -340, 0, 0, -24, -16, 250, 0, 16, -128, -16, 152, 0, 64, 16, -256, -40, 0, 116, -4, 40, -44, 0, -104, -68, -92, 4, 0, 56, -88, 208, 168, 0, -280, -24, 68, 0, 0, 32, 60, -4, 0, 0, -68, 8, 168, -164, 0, -72, 8, -76, -104, 0, 190, -20, 108, 88, 0, -376, 20, 24, -288, 0, -200, -28, 184, 96, 0, -56, -6, 68, -8, 0, -108, 52, -8, 136, 0, -116, -24, 40, -536, 0, -28, -100, -324, -196, 0, -56, -44, -92, -72, 0, -176, 68, 28, -72, 0, 24, -24, -156, 128, 0, -96, -56, 100, -12, 0, 84, 20, 96, 144, 0, -168, -148, 56, 24, 0, 44, 0, 60, -220, 0, 96, 152, 12, -208, 0, 160, 60, 24, -12, 0, -556, 12, 192, -56, 0, 236, 12, -40, -264, 0, 0, 72, -20, 112, 0, -288, 100, 92, -40, 0, 34, 108, -168, 184, 0, -168, 8, 80, 76, 0, 16, 96, 84, 160, 0, 176, -60, 24, -24, 0, 56, 16, -356, -80, 0, -264, -4, -36, 384, 0, -116, -104, -64, 180, 0, 36, -220, 16, -48, 0, -24, -64, -64, -152, 0, 104, -120, 64, -52, 0, -74, -84, -136, 114, 0, 32, -152, -44, -584, 0, -160, 56, 16, 80, 0, 152, 176, -72, -36, 0, 36, 32, -256, 216, 0, 112, -296, 8, 48, 0, -16, -52, -284, 80, 0, 180, 88, -16, -324, 0, -720, -144, 64, -108, 0, 76, 20, -92, 52, 0, -712, -8, -60, -360, 0, 0, 100, 16, -274, 0, -80, -40, -332, -96, 0, -68, -24, -200, 204, 0, -44, 124, -56, 96, 0, 4, -164, 256, 8, 0, -256, 40, 128, -212, 0, -160, 76, -96, -8, 0, 12, 16, 200, 32, 0, 132, 12, 376, 124, 0, 224, -228, 128, 260, 0, 144, 4, -40, 100, 0, -688, -4, -64, -296, 0, 110, 40, -36, -88, 0, -64, -176, 84, 156, 0, 16, 208, -204, -40, 0, 0, -212, 80, 252, 0, 80, 208, -32, -42, 0, 516, 88, -352, 56, 0, 328, -216, 12, 0, 0, -88, 52, 268, 0, 0, 300, -8, 4, -32, 0, -128, -88, -18, 128, 0, 0, -128, -88, -108, 0, -384, -88, -92, 304, 0, 80, 168, 48, 340, 0, 128, 140, -472, 4, 0, -88, -12, 0, 296, 0, -60, 148, 0, -308, 0, -72, -116, 360, -496, 0, 308, 12, 108, 292, 0, 284, -276, -48, 80, 0, 64, 228, 192, 200, 0, 316, 168, -144, -92, 0, 440, -204, -60, 136, 0, -72, 128, -116, 56, 0, 360, -144, 264, -192, 0, 122, 48, -16, -4, 0, -112, 76, 228, -40, 0, -200, 8, 32, 652, 0, 20, 80, -76, -8, 0, 36, 120, 120, -196, 0, 52, -96, 304, 184, 0, -124, 36, 100, 184, 0, 272, -220, 388, 8, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 48314771
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 90071992580967127, 'source_is_minimal': True, 'source_label': '2775.2.a.u.1.2', 'source_level': 2775, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 90071992580967127, 'target_is_minimal': True, 'target_label': '2775.2.a.u.1.2', 'target_level': 2775, 'twist_class_label': '2775.2.a.u.1.2', 'twist_class_level': 2775, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48314772
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 90071992580967127, 'source_is_minimal': True, 'source_label': '2775.2.a.u.1.2', 'source_level': 2775, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 184647584755753093, 'target_is_minimal': False, 'target_label': '8325.2.a.bp.1.2', 'target_level': 8325, 'twist_class_label': '2775.2.a.u.1.2', 'twist_class_level': 2775, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 48314773
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 90071992580967127, 'source_is_minimal': True, 'source_label': '2775.2.a.u.1.2', 'source_level': 2775, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 94575592208337623, 'target_is_minimal': True, 'target_label': '2775.2.a.v.1.2', 'target_level': 2775, 'twist_class_label': '2775.2.a.u.1.2', 'twist_class_level': 2775, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 48314774
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 90071992580967127, 'source_is_minimal': True, 'source_label': '2775.2.a.u.1.2', 'source_level': 2775, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 180143985128382597, 'target_is_minimal': False, 'target_label': '8325.2.a.bo.1.2', 'target_level': 8325, 'twist_class_label': '2775.2.a.u.1.2', 'twist_class_level': 2775, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2845425
    {'charpoly_factorization': [[[-3, -5, 0, 1], 1]], 'hecke_orbit_code': 90071992580967127, 'p': 2}
  • id: 2845426
    {'charpoly_factorization': [[[1, 1], 3]], 'hecke_orbit_code': 90071992580967127, 'p': 3}
  • id: 2845427
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 90071992580967127, 'p': 5}
  • id: 2845428
    {'charpoly_factorization': [[[-1, 7, -6, 1], 1]], 'hecke_orbit_code': 90071992580967127, 'p': 7}
  • id: 2845429
    {'charpoly_factorization': [[[45, -24, -1, 1], 1]], 'hecke_orbit_code': 90071992580967127, 'p': 11}
  • id: 2845430
    {'charpoly_factorization': [[[5, -7, -2, 1], 1]], 'hecke_orbit_code': 90071992580967127, 'p': 13}
  • id: 2845431
    {'charpoly_factorization': [[[-1, 6, -7, 1], 1]], 'hecke_orbit_code': 90071992580967127, 'p': 17}
  • id: 2845432
    {'charpoly_factorization': [[[15, 23, 10, 1], 1]], 'hecke_orbit_code': 90071992580967127, 'p': 19}
  • id: 2845433
    {'charpoly_factorization': [[[21, 11, -8, 1], 1]], 'hecke_orbit_code': 90071992580967127, 'p': 23}
  • id: 2845434
    {'charpoly_factorization': [[[9, 7, -9, 1], 1]], 'hecke_orbit_code': 90071992580967127, 'p': 29}
  • id: 2845435
    {'charpoly_factorization': [[[63, -17, -7, 1], 1]], 'hecke_orbit_code': 90071992580967127, 'p': 31}
  • id: 2845436
    {'charpoly_factorization': [[[-1, 1], 3]], 'hecke_orbit_code': 90071992580967127, 'p': 37}
  • id: 2845437
    {'charpoly_factorization': [[[-1029, -61, 14, 1], 1]], 'hecke_orbit_code': 90071992580967127, 'p': 41}
  • id: 2845438
    {'charpoly_factorization': [[[-61, -38, -3, 1], 1]], 'hecke_orbit_code': 90071992580967127, 'p': 43}
  • id: 2845439
    {'charpoly_factorization': [[[213, -40, -7, 1], 1]], 'hecke_orbit_code': 90071992580967127, 'p': 47}
  • id: 2845440
    {'charpoly_factorization': [[[-57, 20, 11, 1], 1]], 'hecke_orbit_code': 90071992580967127, 'p': 53}
  • id: 2845441
    {'charpoly_factorization': [[[-37, -26, 9, 1], 1]], 'hecke_orbit_code': 90071992580967127, 'p': 59}
  • id: 2845442
    {'charpoly_factorization': [[[-45, 39, 14, 1], 1]], 'hecke_orbit_code': 90071992580967127, 'p': 61}
  • id: 2845443
    {'charpoly_factorization': [[[-499, -122, 3, 1], 1]], 'hecke_orbit_code': 90071992580967127, 'p': 67}
  • id: 2845444
    {'charpoly_factorization': [[[189, 72, -21, 1], 1]], 'hecke_orbit_code': 90071992580967127, 'p': 71}
  • id: 2845445
    {'charpoly_factorization': [[[945, 58, -23, 1], 1]], 'hecke_orbit_code': 90071992580967127, 'p': 73}
  • id: 2845446
    {'charpoly_factorization': [[[-135, 63, 18, 1], 1]], 'hecke_orbit_code': 90071992580967127, 'p': 79}
  • id: 2845447
    {'charpoly_factorization': [[[-547, -68, 11, 1], 1]], 'hecke_orbit_code': 90071992580967127, 'p': 83}
  • id: 2845448
    {'charpoly_factorization': [[[639, -78, -13, 1], 1]], 'hecke_orbit_code': 90071992580967127, 'p': 89}
  • id: 2845449
    {'charpoly_factorization': [[[56, 32, -14, 1], 1]], 'hecke_orbit_code': 90071992580967127, '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': 21, 'label': '2775.2.a.u', 'level': 2775, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 64250233
    {'hecke_orbit_code': 90071992580967127, 'n': 1, 'trace_an': 3}
  • id: 64250234
    {'hecke_orbit_code': 90071992580967127, 'n': 2, 'trace_an': 0}
  • id: 64250235
    {'hecke_orbit_code': 90071992580967127, 'n': 3, 'trace_an': -3}
  • id: 64250236
    {'hecke_orbit_code': 90071992580967127, 'n': 4, 'trace_an': 4}
  • id: 64250237
    {'hecke_orbit_code': 90071992580967127, 'n': 5, 'trace_an': 0}
  • id: 64250238
    {'hecke_orbit_code': 90071992580967127, 'n': 6, 'trace_an': 0}
  • id: 64250239
    {'hecke_orbit_code': 90071992580967127, 'n': 7, 'trace_an': 6}
  • id: 64250240
    {'hecke_orbit_code': 90071992580967127, 'n': 8, 'trace_an': 9}
  • id: 64250241
    {'hecke_orbit_code': 90071992580967127, 'n': 9, 'trace_an': 3}
  • id: 64250242
    {'hecke_orbit_code': 90071992580967127, 'n': 10, 'trace_an': 0}
  • id: 64250243
    {'hecke_orbit_code': 90071992580967127, 'n': 11, 'trace_an': 1}
  • id: 64250244
    {'hecke_orbit_code': 90071992580967127, 'n': 12, 'trace_an': -4}
  • id: 64250245
    {'hecke_orbit_code': 90071992580967127, 'n': 13, 'trace_an': 2}
  • id: 64250246
    {'hecke_orbit_code': 90071992580967127, 'n': 14, 'trace_an': 10}
  • id: 64250247
    {'hecke_orbit_code': 90071992580967127, 'n': 15, 'trace_an': 0}
  • id: 64250248
    {'hecke_orbit_code': 90071992580967127, 'n': 16, 'trace_an': 2}
  • id: 64250249
    {'hecke_orbit_code': 90071992580967127, 'n': 17, 'trace_an': 7}
  • id: 64250250
    {'hecke_orbit_code': 90071992580967127, 'n': 18, 'trace_an': 0}
  • id: 64250251
    {'hecke_orbit_code': 90071992580967127, 'n': 19, 'trace_an': -10}
  • id: 64250252
    {'hecke_orbit_code': 90071992580967127, 'n': 20, 'trace_an': 0}
  • id: 64250253
    {'hecke_orbit_code': 90071992580967127, 'n': 21, 'trace_an': -6}
  • id: 64250254
    {'hecke_orbit_code': 90071992580967127, 'n': 22, 'trace_an': 12}
  • id: 64250255
    {'hecke_orbit_code': 90071992580967127, 'n': 23, 'trace_an': 8}
  • id: 64250256
    {'hecke_orbit_code': 90071992580967127, 'n': 24, 'trace_an': -9}
  • id: 64250257
    {'hecke_orbit_code': 90071992580967127, 'n': 25, 'trace_an': 0}
  • id: 64250258
    {'hecke_orbit_code': 90071992580967127, 'n': 26, 'trace_an': -9}
  • id: 64250259
    {'hecke_orbit_code': 90071992580967127, 'n': 27, 'trace_an': -3}
  • id: 64250260
    {'hecke_orbit_code': 90071992580967127, 'n': 28, 'trace_an': 17}
  • id: 64250261
    {'hecke_orbit_code': 90071992580967127, 'n': 29, 'trace_an': 9}
  • id: 64250262
    {'hecke_orbit_code': 90071992580967127, 'n': 30, 'trace_an': 0}
  • id: 64250263
    {'hecke_orbit_code': 90071992580967127, 'n': 31, 'trace_an': 7}
  • id: 64250264
    {'hecke_orbit_code': 90071992580967127, 'n': 32, 'trace_an': 3}
  • id: 64250265
    {'hecke_orbit_code': 90071992580967127, 'n': 33, 'trace_an': -1}
  • id: 64250266
    {'hecke_orbit_code': 90071992580967127, 'n': 34, 'trace_an': -11}
  • id: 64250267
    {'hecke_orbit_code': 90071992580967127, 'n': 35, 'trace_an': 0}
  • id: 64250268
    {'hecke_orbit_code': 90071992580967127, 'n': 36, 'trace_an': 4}
  • id: 64250269
    {'hecke_orbit_code': 90071992580967127, 'n': 37, 'trace_an': 3}
  • id: 64250270
    {'hecke_orbit_code': 90071992580967127, 'n': 38, 'trace_an': 11}
  • id: 64250271
    {'hecke_orbit_code': 90071992580967127, 'n': 39, 'trace_an': -2}
  • id: 64250272
    {'hecke_orbit_code': 90071992580967127, 'n': 40, 'trace_an': 0}
  • id: 64250273
    {'hecke_orbit_code': 90071992580967127, 'n': 41, 'trace_an': -14}
  • id: 64250274
    {'hecke_orbit_code': 90071992580967127, 'n': 42, 'trace_an': -10}
  • id: 64250275
    {'hecke_orbit_code': 90071992580967127, 'n': 43, 'trace_an': 3}
  • id: 64250276
    {'hecke_orbit_code': 90071992580967127, 'n': 44, 'trace_an': -5}
  • id: 64250277
    {'hecke_orbit_code': 90071992580967127, 'n': 45, 'trace_an': 0}
  • id: 64250278
    {'hecke_orbit_code': 90071992580967127, 'n': 46, 'trace_an': 11}
  • id: 64250279
    {'hecke_orbit_code': 90071992580967127, 'n': 47, 'trace_an': 7}
  • id: 64250280
    {'hecke_orbit_code': 90071992580967127, 'n': 48, 'trace_an': -2}
  • id: 64250281
    {'hecke_orbit_code': 90071992580967127, 'n': 49, 'trace_an': 1}
  • id: 64250282
    {'hecke_orbit_code': 90071992580967127, 'n': 50, 'trace_an': 0}
  • id: 64250283
    {'hecke_orbit_code': 90071992580967127, 'n': 51, 'trace_an': -7}
  • id: 64250284
    {'hecke_orbit_code': 90071992580967127, 'n': 52, 'trace_an': -14}
  • id: 64250285
    {'hecke_orbit_code': 90071992580967127, 'n': 53, 'trace_an': -11}
  • id: 64250286
    {'hecke_orbit_code': 90071992580967127, 'n': 54, 'trace_an': 0}
  • id: 64250287
    {'hecke_orbit_code': 90071992580967127, 'n': 55, 'trace_an': 0}
  • id: 64250288
    {'hecke_orbit_code': 90071992580967127, 'n': 56, 'trace_an': 28}
  • id: 64250289
    {'hecke_orbit_code': 90071992580967127, 'n': 57, 'trace_an': 10}
  • id: 64250290
    {'hecke_orbit_code': 90071992580967127, 'n': 58, 'trace_an': 20}
  • id: 64250291
    {'hecke_orbit_code': 90071992580967127, 'n': 59, 'trace_an': -9}
  • id: 64250292
    {'hecke_orbit_code': 90071992580967127, 'n': 60, 'trace_an': 0}
  • id: 64250293
    {'hecke_orbit_code': 90071992580967127, 'n': 61, 'trace_an': -14}
  • id: 64250294
    {'hecke_orbit_code': 90071992580967127, 'n': 62, 'trace_an': -18}
  • id: 64250295
    {'hecke_orbit_code': 90071992580967127, 'n': 63, 'trace_an': 6}
  • id: 64250296
    {'hecke_orbit_code': 90071992580967127, 'n': 64, 'trace_an': -7}
  • id: 64250297
    {'hecke_orbit_code': 90071992580967127, 'n': 65, 'trace_an': 0}
  • id: 64250298
    {'hecke_orbit_code': 90071992580967127, 'n': 66, 'trace_an': -12}
  • id: 64250299
    {'hecke_orbit_code': 90071992580967127, 'n': 67, 'trace_an': -3}
  • id: 64250300
    {'hecke_orbit_code': 90071992580967127, 'n': 68, 'trace_an': 8}
  • id: 64250301
    {'hecke_orbit_code': 90071992580967127, 'n': 69, 'trace_an': -8}
  • id: 64250302
    {'hecke_orbit_code': 90071992580967127, 'n': 70, 'trace_an': 0}
  • id: 64250303
    {'hecke_orbit_code': 90071992580967127, 'n': 71, 'trace_an': 21}
  • id: 64250304
    {'hecke_orbit_code': 90071992580967127, 'n': 72, 'trace_an': 9}
  • id: 64250305
    {'hecke_orbit_code': 90071992580967127, 'n': 73, 'trace_an': 23}
  • id: 64250306
    {'hecke_orbit_code': 90071992580967127, 'n': 74, 'trace_an': 0}
  • id: 64250307
    {'hecke_orbit_code': 90071992580967127, 'n': 75, 'trace_an': 0}
  • id: 64250308
    {'hecke_orbit_code': 90071992580967127, 'n': 76, 'trace_an': -12}
  • id: 64250309
    {'hecke_orbit_code': 90071992580967127, 'n': 77, 'trace_an': 14}
  • id: 64250310
    {'hecke_orbit_code': 90071992580967127, 'n': 78, 'trace_an': 9}
  • id: 64250311
    {'hecke_orbit_code': 90071992580967127, 'n': 79, 'trace_an': -18}
  • id: 64250312
    {'hecke_orbit_code': 90071992580967127, 'n': 80, 'trace_an': 0}
  • id: 64250313
    {'hecke_orbit_code': 90071992580967127, 'n': 81, 'trace_an': 3}
  • id: 64250314
    {'hecke_orbit_code': 90071992580967127, 'n': 82, 'trace_an': -34}
  • id: 64250315
    {'hecke_orbit_code': 90071992580967127, 'n': 83, 'trace_an': -11}
  • id: 64250316
    {'hecke_orbit_code': 90071992580967127, 'n': 84, 'trace_an': -17}
  • id: 64250317
    {'hecke_orbit_code': 90071992580967127, 'n': 85, 'trace_an': 0}
  • id: 64250318
    {'hecke_orbit_code': 90071992580967127, 'n': 86, 'trace_an': -7}
  • id: 64250319
    {'hecke_orbit_code': 90071992580967127, 'n': 87, 'trace_an': -9}
  • id: 64250320
    {'hecke_orbit_code': 90071992580967127, 'n': 88, 'trace_an': 15}
  • id: 64250321
    {'hecke_orbit_code': 90071992580967127, 'n': 89, 'trace_an': 13}
  • id: 64250322
    {'hecke_orbit_code': 90071992580967127, 'n': 90, 'trace_an': 0}
  • id: 64250323
    {'hecke_orbit_code': 90071992580967127, 'n': 91, 'trace_an': -5}
  • id: 64250324
    {'hecke_orbit_code': 90071992580967127, 'n': 92, 'trace_an': 12}
  • id: 64250325
    {'hecke_orbit_code': 90071992580967127, 'n': 93, 'trace_an': -7}
  • id: 64250326
    {'hecke_orbit_code': 90071992580967127, 'n': 94, 'trace_an': -28}
  • id: 64250327
    {'hecke_orbit_code': 90071992580967127, 'n': 95, 'trace_an': 0}
  • id: 64250328
    {'hecke_orbit_code': 90071992580967127, 'n': 96, 'trace_an': -3}
  • id: 64250329
    {'hecke_orbit_code': 90071992580967127, 'n': 97, 'trace_an': 14}
  • id: 64250330
    {'hecke_orbit_code': 90071992580967127, 'n': 98, 'trace_an': 49}
  • id: 64250331
    {'hecke_orbit_code': 90071992580967127, 'n': 99, 'trace_an': 1}
  • id: 64250332
    {'hecke_orbit_code': 90071992580967127, 'n': 100, 'trace_an': 0}