Embedded newform data - 2775.2.a.v.1.2

Formats: - HTML - YAML - JSON - 2026-10-05T16:14:18.425939

• 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': 1, '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': 22, 'hecke_orbit_code': 94575592208337623, '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.v', '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': 1941219921560351349, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '2.936', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '22.668', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.245', '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, 18, 0, 54, -15, -12, 43, 0, 3, 35, -38, -8, 0, 39, -8, 9, 27, 0, -22, 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-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': [-0.21271192577341613, None, None, -0.2908525735228064, -0.14187036871688855, -0.3323995606532594, -0.2643866121765503, -0.28206260500078495, -0.3231632806597797, -0.22497144752938766, -0.11957664286429916, None, -0.4327237894634504, -0.3605294624811416, -0.36082131126950723, -0.26621743523419766, -0.37776615577515815, -0.30834536036737054, -0.20786964568199257, -0.2661445052575769, -0.20396136952490032, -0.3239922563062321, -0.31810427802803876, -0.20406036351930437, -0.24080242176013678, -0.11366962130379016, -0.17213803285163357, -0.28342717042053495, -0.25267613184874815, -0.35380916390105577, -0.4226956990026146, -0.300191093869998, -0.2918706261658254, -0.3780745543234106, -0.19440496934582835, -0.071730810990231, -0.44198007196258426, -0.2135497715213751, -0.21133239378766056, -0.22945956816760602, -0.10262375232008221, -0.20829810298186646, -0.2702724477849977, -0.25179431667079594, -0.24387487474656763, -0.26524776269752104, -0.44670765508584365, -0.19313258714539486, -0.14266037312833454, -0.18661910258829448, -0.19585022053799875, -0.26041779796386205, -0.09199513044680309, -0.21032777553030257, -0.3169210639005037, -0.3478550852954331, -0.183485798413409, -0.3647652748713824, -0.11679633642412347, -0.23373248202413843, -0.17856680927366347, -0.4326549245210312, -0.2695487976778347, -0.1805756114552846, -0.22270832242076674, -0.28747899135011673, -0.3386107485903685, -0.27022875657373613, -0.30745945222228305, -0.19728729384405225, -0.06965894378464653, -0.12128822460913939, -0.10252320026065083, -0.36344601200817495, -0.3699993225494294, -0.3249634803347787, -0.22442852128611898, -0.10866567985807922, -0.3206058601611212, -0.24898380145696394, -0.21987743289930906, -0.22384204638781396, -0.21162440053307582, -0.20858983946814766, -0.27546569824389894, -0.19611279015956046, -0.16555313803097607, -0.3384811317218418, -0.32410529171184066, -0.2720083328878726, -0.24253120463916336, -0.04107187176933587, -0.27335535903290475, -0.18730542152855817, -0.13278144215888973, -0.1858608109517917, -0.2607232175958751, -0.36379523941001074, -0.3225408159094995, -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': 22, 'hecke_orbit_code': 94575592208337623, 'label': '2775.2.a.v.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: 48372918
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 94575592208337623, 'source_is_minimal': True, 'source_label': '2775.2.a.v.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': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48372919
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 94575592208337623, 'source_is_minimal': True, 'source_label': '2775.2.a.v.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': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 48372920
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 94575592208337623, 'source_is_minimal': True, 'source_label': '2775.2.a.v.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': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 48372921
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 94575592208337623, 'source_is_minimal': True, 'source_label': '2775.2.a.v.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': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2845450
    {'charpoly_factorization': [[[3, -5, 0, 1], 1]], 'hecke_orbit_code': 94575592208337623, 'p': 2}
  • id: 2845451
    {'charpoly_factorization': [[[-1, 1], 3]], 'hecke_orbit_code': 94575592208337623, 'p': 3}
  • id: 2845452
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 94575592208337623, 'p': 5}
  • id: 2845453
    {'charpoly_factorization': [[[1, 7, 6, 1], 1]], 'hecke_orbit_code': 94575592208337623, 'p': 7}
  • id: 2845454
    {'charpoly_factorization': [[[45, -24, -1, 1], 1]], 'hecke_orbit_code': 94575592208337623, 'p': 11}
  • id: 2845455
    {'charpoly_factorization': [[[-5, -7, 2, 1], 1]], 'hecke_orbit_code': 94575592208337623, 'p': 13}
  • id: 2845456
    {'charpoly_factorization': [[[1, 6, 7, 1], 1]], 'hecke_orbit_code': 94575592208337623, 'p': 17}
  • id: 2845457
    {'charpoly_factorization': [[[15, 23, 10, 1], 1]], 'hecke_orbit_code': 94575592208337623, 'p': 19}
  • id: 2845458
    {'charpoly_factorization': [[[-21, 11, 8, 1], 1]], 'hecke_orbit_code': 94575592208337623, 'p': 23}
  • id: 2845459
    {'charpoly_factorization': [[[9, 7, -9, 1], 1]], 'hecke_orbit_code': 94575592208337623, 'p': 29}
  • id: 2845460
    {'charpoly_factorization': [[[63, -17, -7, 1], 1]], 'hecke_orbit_code': 94575592208337623, 'p': 31}
  • id: 2845461
    {'charpoly_factorization': [[[1, 1], 3]], 'hecke_orbit_code': 94575592208337623, 'p': 37}
  • id: 2845462
    {'charpoly_factorization': [[[-1029, -61, 14, 1], 1]], 'hecke_orbit_code': 94575592208337623, 'p': 41}
  • id: 2845463
    {'charpoly_factorization': [[[61, -38, 3, 1], 1]], 'hecke_orbit_code': 94575592208337623, 'p': 43}
  • id: 2845464
    {'charpoly_factorization': [[[-213, -40, 7, 1], 1]], 'hecke_orbit_code': 94575592208337623, 'p': 47}
  • id: 2845465
    {'charpoly_factorization': [[[57, 20, -11, 1], 1]], 'hecke_orbit_code': 94575592208337623, 'p': 53}
  • id: 2845466
    {'charpoly_factorization': [[[-37, -26, 9, 1], 1]], 'hecke_orbit_code': 94575592208337623, 'p': 59}
  • id: 2845467
    {'charpoly_factorization': [[[-45, 39, 14, 1], 1]], 'hecke_orbit_code': 94575592208337623, 'p': 61}
  • id: 2845468
    {'charpoly_factorization': [[[499, -122, -3, 1], 1]], 'hecke_orbit_code': 94575592208337623, 'p': 67}
  • id: 2845469
    {'charpoly_factorization': [[[189, 72, -21, 1], 1]], 'hecke_orbit_code': 94575592208337623, 'p': 71}
  • id: 2845470
    {'charpoly_factorization': [[[-945, 58, 23, 1], 1]], 'hecke_orbit_code': 94575592208337623, 'p': 73}
  • id: 2845471
    {'charpoly_factorization': [[[-135, 63, 18, 1], 1]], 'hecke_orbit_code': 94575592208337623, 'p': 79}
  • id: 2845472
    {'charpoly_factorization': [[[547, -68, -11, 1], 1]], 'hecke_orbit_code': 94575592208337623, 'p': 83}
  • id: 2845473
    {'charpoly_factorization': [[[639, -78, -13, 1], 1]], 'hecke_orbit_code': 94575592208337623, 'p': 89}
  • id: 2845474
    {'charpoly_factorization': [[[-56, 32, 14, 1], 1]], 'hecke_orbit_code': 94575592208337623, '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': 22, 'label': '2775.2.a.v', 'level': 2775, 'portrait': 'data:image/png;base64,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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: 64826089
    {'hecke_orbit_code': 94575592208337623, 'n': 1, 'trace_an': 3}
  • id: 64826090
    {'hecke_orbit_code': 94575592208337623, 'n': 2, 'trace_an': 0}
  • id: 64826091
    {'hecke_orbit_code': 94575592208337623, 'n': 3, 'trace_an': 3}
  • id: 64826092
    {'hecke_orbit_code': 94575592208337623, 'n': 4, 'trace_an': 4}
  • id: 64826093
    {'hecke_orbit_code': 94575592208337623, 'n': 5, 'trace_an': 0}
  • id: 64826094
    {'hecke_orbit_code': 94575592208337623, 'n': 6, 'trace_an': 0}
  • id: 64826095
    {'hecke_orbit_code': 94575592208337623, 'n': 7, 'trace_an': -6}
  • id: 64826096
    {'hecke_orbit_code': 94575592208337623, 'n': 8, 'trace_an': -9}
  • id: 64826097
    {'hecke_orbit_code': 94575592208337623, 'n': 9, 'trace_an': 3}
  • id: 64826098
    {'hecke_orbit_code': 94575592208337623, 'n': 10, 'trace_an': 0}
  • id: 64826099
    {'hecke_orbit_code': 94575592208337623, 'n': 11, 'trace_an': 1}
  • id: 64826100
    {'hecke_orbit_code': 94575592208337623, 'n': 12, 'trace_an': 4}
  • id: 64826101
    {'hecke_orbit_code': 94575592208337623, 'n': 13, 'trace_an': -2}
  • id: 64826102
    {'hecke_orbit_code': 94575592208337623, 'n': 14, 'trace_an': 10}
  • id: 64826103
    {'hecke_orbit_code': 94575592208337623, 'n': 15, 'trace_an': 0}
  • id: 64826104
    {'hecke_orbit_code': 94575592208337623, 'n': 16, 'trace_an': 2}
  • id: 64826105
    {'hecke_orbit_code': 94575592208337623, 'n': 17, 'trace_an': -7}
  • id: 64826106
    {'hecke_orbit_code': 94575592208337623, 'n': 18, 'trace_an': 0}
  • id: 64826107
    {'hecke_orbit_code': 94575592208337623, 'n': 19, 'trace_an': -10}
  • id: 64826108
    {'hecke_orbit_code': 94575592208337623, 'n': 20, 'trace_an': 0}
  • id: 64826109
    {'hecke_orbit_code': 94575592208337623, 'n': 21, 'trace_an': -6}
  • id: 64826110
    {'hecke_orbit_code': 94575592208337623, 'n': 22, 'trace_an': -12}
  • id: 64826111
    {'hecke_orbit_code': 94575592208337623, 'n': 23, 'trace_an': -8}
  • id: 64826112
    {'hecke_orbit_code': 94575592208337623, 'n': 24, 'trace_an': -9}
  • id: 64826113
    {'hecke_orbit_code': 94575592208337623, 'n': 25, 'trace_an': 0}
  • id: 64826114
    {'hecke_orbit_code': 94575592208337623, 'n': 26, 'trace_an': -9}
  • id: 64826115
    {'hecke_orbit_code': 94575592208337623, 'n': 27, 'trace_an': 3}
  • id: 64826116
    {'hecke_orbit_code': 94575592208337623, 'n': 28, 'trace_an': -17}
  • id: 64826117
    {'hecke_orbit_code': 94575592208337623, 'n': 29, 'trace_an': 9}
  • id: 64826118
    {'hecke_orbit_code': 94575592208337623, 'n': 30, 'trace_an': 0}
  • id: 64826119
    {'hecke_orbit_code': 94575592208337623, 'n': 31, 'trace_an': 7}
  • id: 64826120
    {'hecke_orbit_code': 94575592208337623, 'n': 32, 'trace_an': -3}
  • id: 64826121
    {'hecke_orbit_code': 94575592208337623, 'n': 33, 'trace_an': 1}
  • id: 64826122
    {'hecke_orbit_code': 94575592208337623, 'n': 34, 'trace_an': -11}
  • id: 64826123
    {'hecke_orbit_code': 94575592208337623, 'n': 35, 'trace_an': 0}
  • id: 64826124
    {'hecke_orbit_code': 94575592208337623, 'n': 36, 'trace_an': 4}
  • id: 64826125
    {'hecke_orbit_code': 94575592208337623, 'n': 37, 'trace_an': -3}
  • id: 64826126
    {'hecke_orbit_code': 94575592208337623, 'n': 38, 'trace_an': -11}
  • id: 64826127
    {'hecke_orbit_code': 94575592208337623, 'n': 39, 'trace_an': -2}
  • id: 64826128
    {'hecke_orbit_code': 94575592208337623, 'n': 40, 'trace_an': 0}
  • id: 64826129
    {'hecke_orbit_code': 94575592208337623, 'n': 41, 'trace_an': -14}
  • id: 64826130
    {'hecke_orbit_code': 94575592208337623, 'n': 42, 'trace_an': 10}
  • id: 64826131
    {'hecke_orbit_code': 94575592208337623, 'n': 43, 'trace_an': -3}
  • id: 64826132
    {'hecke_orbit_code': 94575592208337623, 'n': 44, 'trace_an': -5}
  • id: 64826133
    {'hecke_orbit_code': 94575592208337623, 'n': 45, 'trace_an': 0}
  • id: 64826134
    {'hecke_orbit_code': 94575592208337623, 'n': 46, 'trace_an': 11}
  • id: 64826135
    {'hecke_orbit_code': 94575592208337623, 'n': 47, 'trace_an': -7}
  • id: 64826136
    {'hecke_orbit_code': 94575592208337623, 'n': 48, 'trace_an': 2}
  • id: 64826137
    {'hecke_orbit_code': 94575592208337623, 'n': 49, 'trace_an': 1}
  • id: 64826138
    {'hecke_orbit_code': 94575592208337623, 'n': 50, 'trace_an': 0}
  • id: 64826139
    {'hecke_orbit_code': 94575592208337623, 'n': 51, 'trace_an': -7}
  • id: 64826140
    {'hecke_orbit_code': 94575592208337623, 'n': 52, 'trace_an': 14}
  • id: 64826141
    {'hecke_orbit_code': 94575592208337623, 'n': 53, 'trace_an': 11}
  • id: 64826142
    {'hecke_orbit_code': 94575592208337623, 'n': 54, 'trace_an': 0}
  • id: 64826143
    {'hecke_orbit_code': 94575592208337623, 'n': 55, 'trace_an': 0}
  • id: 64826144
    {'hecke_orbit_code': 94575592208337623, 'n': 56, 'trace_an': 28}
  • id: 64826145
    {'hecke_orbit_code': 94575592208337623, 'n': 57, 'trace_an': -10}
  • id: 64826146
    {'hecke_orbit_code': 94575592208337623, 'n': 58, 'trace_an': -20}
  • id: 64826147
    {'hecke_orbit_code': 94575592208337623, 'n': 59, 'trace_an': -9}
  • id: 64826148
    {'hecke_orbit_code': 94575592208337623, 'n': 60, 'trace_an': 0}
  • id: 64826149
    {'hecke_orbit_code': 94575592208337623, 'n': 61, 'trace_an': -14}
  • id: 64826150
    {'hecke_orbit_code': 94575592208337623, 'n': 62, 'trace_an': 18}
  • id: 64826151
    {'hecke_orbit_code': 94575592208337623, 'n': 63, 'trace_an': -6}
  • id: 64826152
    {'hecke_orbit_code': 94575592208337623, 'n': 64, 'trace_an': -7}
  • id: 64826153
    {'hecke_orbit_code': 94575592208337623, 'n': 65, 'trace_an': 0}
  • id: 64826154
    {'hecke_orbit_code': 94575592208337623, 'n': 66, 'trace_an': -12}
  • id: 64826155
    {'hecke_orbit_code': 94575592208337623, 'n': 67, 'trace_an': 3}
  • id: 64826156
    {'hecke_orbit_code': 94575592208337623, 'n': 68, 'trace_an': -8}
  • id: 64826157
    {'hecke_orbit_code': 94575592208337623, 'n': 69, 'trace_an': -8}
  • id: 64826158
    {'hecke_orbit_code': 94575592208337623, 'n': 70, 'trace_an': 0}
  • id: 64826159
    {'hecke_orbit_code': 94575592208337623, 'n': 71, 'trace_an': 21}
  • id: 64826160
    {'hecke_orbit_code': 94575592208337623, 'n': 72, 'trace_an': -9}
  • id: 64826161
    {'hecke_orbit_code': 94575592208337623, 'n': 73, 'trace_an': -23}
  • id: 64826162
    {'hecke_orbit_code': 94575592208337623, 'n': 74, 'trace_an': 0}
  • id: 64826163
    {'hecke_orbit_code': 94575592208337623, 'n': 75, 'trace_an': 0}
  • id: 64826164
    {'hecke_orbit_code': 94575592208337623, 'n': 76, 'trace_an': -12}
  • id: 64826165
    {'hecke_orbit_code': 94575592208337623, 'n': 77, 'trace_an': -14}
  • id: 64826166
    {'hecke_orbit_code': 94575592208337623, 'n': 78, 'trace_an': -9}
  • id: 64826167
    {'hecke_orbit_code': 94575592208337623, 'n': 79, 'trace_an': -18}
  • id: 64826168
    {'hecke_orbit_code': 94575592208337623, 'n': 80, 'trace_an': 0}
  • id: 64826169
    {'hecke_orbit_code': 94575592208337623, 'n': 81, 'trace_an': 3}
  • id: 64826170
    {'hecke_orbit_code': 94575592208337623, 'n': 82, 'trace_an': 34}
  • id: 64826171
    {'hecke_orbit_code': 94575592208337623, 'n': 83, 'trace_an': 11}
  • id: 64826172
    {'hecke_orbit_code': 94575592208337623, 'n': 84, 'trace_an': -17}
  • id: 64826173
    {'hecke_orbit_code': 94575592208337623, 'n': 85, 'trace_an': 0}
  • id: 64826174
    {'hecke_orbit_code': 94575592208337623, 'n': 86, 'trace_an': -7}
  • id: 64826175
    {'hecke_orbit_code': 94575592208337623, 'n': 87, 'trace_an': 9}
  • id: 64826176
    {'hecke_orbit_code': 94575592208337623, 'n': 88, 'trace_an': -15}
  • id: 64826177
    {'hecke_orbit_code': 94575592208337623, 'n': 89, 'trace_an': 13}
  • id: 64826178
    {'hecke_orbit_code': 94575592208337623, 'n': 90, 'trace_an': 0}
  • id: 64826179
    {'hecke_orbit_code': 94575592208337623, 'n': 91, 'trace_an': -5}
  • id: 64826180
    {'hecke_orbit_code': 94575592208337623, 'n': 92, 'trace_an': -12}
  • id: 64826181
    {'hecke_orbit_code': 94575592208337623, 'n': 93, 'trace_an': 7}
  • id: 64826182
    {'hecke_orbit_code': 94575592208337623, 'n': 94, 'trace_an': -28}
  • id: 64826183
    {'hecke_orbit_code': 94575592208337623, 'n': 95, 'trace_an': 0}
  • id: 64826184
    {'hecke_orbit_code': 94575592208337623, 'n': 96, 'trace_an': -3}
  • id: 64826185
    {'hecke_orbit_code': 94575592208337623, 'n': 97, 'trace_an': -14}
  • id: 64826186
    {'hecke_orbit_code': 94575592208337623, 'n': 98, 'trace_an': -49}
  • id: 64826187
    {'hecke_orbit_code': 94575592208337623, 'n': 99, 'trace_an': 1}
  • id: 64826188
    {'hecke_orbit_code': 94575592208337623, 'n': 100, 'trace_an': 0}