Embedded newform data - 2775.2.a.k.1.1

Formats: - HTML - YAML - JSON - 2026-09-21T22:48:04.445651

• 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': 2, 'field_disc': 8, 'field_disc_factorization': [[2, 3]], 'field_poly': [-2, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': True, 'field_poly_root_of_unity': 8, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [-1, 2, 1]], [7, [2, 1]]], 'hecke_orbit': 11, 'hecke_orbit_code': 45035996307262167, '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.k', '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.k', 'nf_label': '2.2.8.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(-1+\\beta )q^{2}-q^{3}+(1-2\\beta )q^{4}+(1+\\cdots)q^{6}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2775.2.a', 'trace_display': [-2, -2, 0, -4], 'trace_hash': 2201874700001600767, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '1.983', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.152', 'prec': 10}, {'__RealLiteral__': 0, 'data': '9.798', 'prec': 14}, {'__RealLiteral__': 0, 'data': '1.552', 'prec': 14}, {'__RealLiteral__': 0, 'data': '68.738', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.018', 'prec': 7}, 'traces': [2, -2, -2, 2, 0, 2, -4, -6, 2, 0, 0, -2, 4, 4, 0, 6, 4, -2, 6, 0, 4, -8, -6, 6, 0, -12, -2, -4, -4, 0, 12, 6, 0, 12, 0, 2, -2, 6, -4, 0, -10, -4, -6, 16, 0, 10, -12, -6, -6, 0, -4, 20, -6, 2, 0, 12, -6, 12, 18, 0, -24, -12, -4, -14, 0, 8, 4, -28, 6, 0, 8, -6, 6, 2, 0, -18, 0, 12, 10, 0, 2, -6, -8, 4, 0, -6, 4, -8, -20, 0, -8, -14, -12, 20, 0, -6, 0, 6, 0, 0, -14, -12, -6, -20, 0, -10, 0, -2, 28, 0, 2, -12, 0, -6, 0, -20, 4, -14, -8, 0, -6, 24, 10, 12, 0, 4, -8, 10, 6, 0, -12, -16, -12, -20, 0, 4, -4, -10, 24, 0, 12, 24, 16, 6, 0, -30, 6, -2, -10, 0, 32, -6, 4, 16, 0, -20, -2, -30, 6, 0, 12, -2, 14, 22, 0, -8, 10, -12, -2, 0, 6, 18, 4, -12, 0, 0, -18, 12, -12, 0, 2, 24, 24, 22, 0, 12, -32, -28, 4, 0, 30, 14, -32, 24, 0, -6, -46, -8, -2, 0, -4, 30, 8, 28, 0, -6, -6, 12, -24, 0, 0, 26, -8, 24, 0, 6, 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108, 6, 0, -36, -16, 84, -132, 0, -12, 30, 0, 68, 0, 76, 120, -12, 12, 0, -4, 18, 98, -192, 0, 100, 90, 20, -172, 0, -20, -126, 44, 96, 0, 126, 24, 24, -30, 0, -6, 0, 76, -6, 0, -8, 100, -162, 12, 0, 24, 24, 68, 74, 0, 96, 0, -24, -50, 0, -26, -116, 48, 42, 0, -104, 14, -48, -82, 0, 148, -4, -38, -54, 0, 18, -8, -2, -32, 0, -54, -4, -48, -120, 0, 92, 44, 6, 134, 0, -24, 18, -72, 12, 0, 36, -12, -76, -120, 0, 8, 54, -16, 100, 0, -60, 58, 12, 48, 0, 172, -32, -100, 18, 0, 102, -72, -52, -68, 0, 6, 96, 18, 4, 0, 68, -28, 140, -8, 0, -4, 186, 18, -48, 0, 62, 4, -100, 2, 0, -30, -20, 128, -92, 0, -120, 48, 20, -24, 0, -12, 18, 48, -40, 0, -96, 0, 164, 128, 0, -48, -16, -84, -136, 0, -30, 96, 92, -14, 0, -6, -54, 140, -104, 0, 60, -114, 0, -60, 0, -30, -36, -36, 50, 0, 102, -60, -68, 0, 0, -36, -84, 46, 48, 0, 8, -52, -16, -18, 0, -44, 10, 8, -36, 0, -2, 144, 10, 120, 0, -16, 120, -132, -60, 0, -204, -8, 192, -16, 0, 36, 48, -10, -36, 0, -12, -64, 24, 0, 0, -54, 36, 16, -4, 0, 6, -30, -20, -72, 0, 42, 130, 66, -18, 0, 50, 60, -84, 48, 0, -168, -8, -28, 120, 0, 2, 88, 116, 48, 0, -16, -36, -10, 84, 0, 0, -12, 72, 60, 0, -48, -132, 32, 22, 0, -36, -16, -96, 16, 0, -120, 0, -28, -74, 0, 60, -88, 64, -72, 0, -60, 14, -98, -48, 0, -188, 42, 40, -16, 0, 24, 78, 36, 12, 0, -20, -6, -4, -30, 0, 52, -120, -14, 92, 0, -36, -12, -94, -12, 0, -48, 48, -102, 108, 0, 44, -12, 24, 72, 0, -32, -96, 66, -18, 0, 96, -2, -70, 50, 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], [-1.7071067811865475, 0.0], [-0.5773502691896257, 0.0], [1.9142135623730951, 0.0], [0.0, 0.0], [0.9855985596534887, 0.0], [-0.7559289460184545, 0.0], [-1.5606601717798212, 0.0], [0.3333333333333333, 0.0], [0.0, 0.0], [0.8528028654224418, 0.0], [-1.105171715522539, 0.0], [1.3391647367779653, 0.0], [1.2904514298433032, 0.0], [0.0, 0.0], [0.75, 0.0], [-0.8869174310674047, 0.0], [-0.5690355937288492, 0.0], [-0.2850813251728899, 0.0], [0.0, 0.0], [0.4364357804719848, 0.0], [-1.455825554577969, 0.0], [-0.9204271544810185, 0.0], [0.9010475702906074, 0.0], [0.0, 0.0], [-2.2860972032795623, 0.0], [-0.19245008972987526, 0.0], [-1.4470094406589247, 0.0], [-0.896616407792994, 0.0], [0.0, 0.0], [1.0776318121606494, 0.0], [0.28033008588991065, 0.0], [-0.49236596391733095, 0.0], [1.514062760927719, 0.0], [0.0, 0.0], [0.6380711874576983, 0.0], [-0.1643989873053573, 0.0], [0.48666426339228763, 0.0], [-0.7731671212680126, 0.0], [0.0, 0.0], [0.10258339915574202, 0.0], [-0.7450424803961686, 0.0], [0.1895009282228165, 0.0], [1.6324468110222754, 0.0], [0.0, 0.0], [1.5712674370027848, 0.0], [-1.2877584474908848, 0.0], [-0.4330127018922193, 0.0], [-0.42857142857142855, 0.0], [0.0, 0.0], [0.5120620175757374, 0.0], [2.563447301392177, 0.0], [0.3649469980397443, 0.0], [0.3285328532178296, 0.0], [0.0, 0.0], [1.1797481987465004, 0.0], [0.16459177982950324, 0.0], [1.5306199498665427, 0.0], [0.9875852752477501, 0.0], [0.0, 0.0], [-1.5364425591947517, 0.0], [-1.8396325741617925, 0.0], [-0.25197631533948484, 0.0], [-1.2285533905932737, 0.0], [0.0, 0.0], [0.8405212758287266, 0.0], [0.9354336291776986, 0.0], [-1.697749375254331, 0.0], [0.5314088654090573, 0.0], [0.0, 0.0], [-0.8679775099971612, 0.0], [-0.5202200572599405, 0.0], [1.3442505079112332, 0.0], [0.28064662604917656, 0.0], [0.0, 0.0], [-0.5457065390252404, 0.0], [-0.6446583712203042, 0.0], [1.319878835707106, 0.0], [1.358101234638742, 0.0], [0.0, 0.0], [0.1111111111111111, 0.0], [-0.17512081633593357, 0.0], [0.1818633806063049, 0.0], [0.83543129008436, 0.0], [0.0, 0.0], [-0.3234983196103152, 0.0], [0.5176617243991203, 0.0], [-1.3309354664445117, 0.0], [-0.7601852044080154, 0.0], [0.0, 0.0], [-1.0123133880176483, 0.0], [-1.7618941422840415, 0.0], [-0.6221710168382552, 0.0], [2.1983411782419497, 0.0], [0.0, 0.0], [-0.16184865055049083, 0.0], [-0.8615497903412858, 0.0], [0.7316171919370918, 0.0], [0.28426762180748055, 0.0], [0.0, 0.0]], 'angles': [-0.4127785699724471, None, None, -0.31168792860721245, -0.17989055049811412, -0.13323655562513007, -0.3231243609079343, -0.2727635839688752, -0.32611358363696474, -0.3239866438164519, -0.15943592008757862, None, -0.24183308882906274, -0.23489733979449742, -0.3613380428874622, -0.22079481279013613, -0.16780509176007316, -0.38942896918815223, -0.17253835608343646, -0.32144712286393734, -0.13269081781821743, -0.13119583498846454, -0.2355077533174589, -0.31205394102272654, -0.3208798527498787, -0.35841150722054244, -0.24025035612904205, -0.3172620991122015, -0.1845807269829588, -0.1846588723235276, -0.17571475083397337, -0.29220936457191626, -0.30303310547476986, -0.16502367742880467, -0.3019531614599445, -0.15997796265246722, -0.18249171990131524, -0.2860084891074604, -0.17265954716301302, -0.1655412559172569, -0.4142861615353586, -0.29486696109941446, -0.14880453518095416, -0.2769725301490649, -0.3776043755441295, -0.18177090916447353, -0.2971729164573494, -0.31663393766143644, -0.3224172979885326, -0.2658018307746598, -0.36828183623553074, -0.2624396784103267, -0.3840872414613947, -0.26804966121220813, -0.19442034121526797, -0.316555245507611, -0.37940918197660944, -0.33346288260585183, -0.4449288295588186, -0.28029475290183853, -0.35581565617023914, -0.14489735037778173, -0.327951014139866, -0.2132543276304222, -0.2885422839671401, -0.12084255239049642, -0.2763642494617327, -0.44387584226567767, -0.3363826082363531, -0.44932723812789777, -0.06347587336895724, -0.31713406941356703, -0.20588224932562652, -0.44030509855850614, -0.28496519452657054, -0.28650657965368526, -0.39922262803072117, -0.06268081169429252, -0.19546688072973775, -0.36875028463199405, -0.22603124750191217, -0.17263452558301273, -0.14026009465382802, -0.3934085177206644, -0.11446043992167645, -0.21260856395167083, -0.09458729133955551, -0.25308399400219644, -0.3398296713356005, -0.32265586256551765, -0.2783452578331931, -0.3481430944683075, -0.2899789575870762, -0.17766375091713207, -0.28441577129726997, -0.21919638095667388, -0.34406269867388994, -0.22791740273779218, -0.22906157247176448, -0.10266404363299178], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': -1.4142135623730951, 'hecke_orbit': 11, 'hecke_orbit_code': 45035996307262167, 'label': '2775.2.a.k.1.1', '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: 47054357
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996307262167, 'source_is_minimal': True, 'source_label': '2775.2.a.k.1.1', 'source_level': 2775, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45035996307262167, 'target_is_minimal': True, 'target_label': '2775.2.a.k.1.1', 'target_level': 2775, 'twist_class_label': '2775.2.a.k.1.1', 'twist_class_level': 2775, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 47054358
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996307262167, 'source_is_minimal': True, 'source_label': '2775.2.a.k.1.1', 'source_level': 2775, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 175640385501012101, 'target_is_minimal': False, 'target_label': '8325.2.a.bn.1.2', 'target_level': 8325, 'twist_class_label': '2775.2.a.k.1.1', 'twist_class_level': 2775, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 47054359
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996307262167, 'source_is_minimal': True, 'source_label': '2775.2.a.k.1.1', 'source_level': 2775, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 67553994444114647, 'target_is_minimal': True, 'target_label': '2775.2.a.p.1.2', 'target_level': 2775, 'twist_class_label': '2775.2.a.k.1.1', 'twist_class_level': 2775, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 47054360
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996307262167, 'source_is_minimal': True, 'source_label': '2775.2.a.k.1.1', 'source_level': 2775, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 144115188109418629, 'target_is_minimal': False, 'target_label': '8325.2.a.bg.1.1', 'target_level': 8325, 'twist_class_label': '2775.2.a.k.1.1', '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: 2845275
    {'charpoly_factorization': [[[-1, 2, 1], 1]], 'hecke_orbit_code': 45035996307262167, 'p': 2}
  • id: 2845276
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 45035996307262167, 'p': 3}
  • id: 2845277
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 45035996307262167, 'p': 5}
  • id: 2845278
    {'charpoly_factorization': [[[2, 1], 2]], 'hecke_orbit_code': 45035996307262167, 'p': 7}
  • id: 2845279
    {'charpoly_factorization': [[[-8, 0, 1], 1]], 'hecke_orbit_code': 45035996307262167, 'p': 11}
  • id: 2845280
    {'charpoly_factorization': [[[-4, -4, 1], 1]], 'hecke_orbit_code': 45035996307262167, 'p': 13}
  • id: 2845281
    {'charpoly_factorization': [[[-28, -4, 1], 1]], 'hecke_orbit_code': 45035996307262167, 'p': 17}
  • id: 2845282
    {'charpoly_factorization': [[[-9, -6, 1], 1]], 'hecke_orbit_code': 45035996307262167, 'p': 19}
  • id: 2845283
    {'charpoly_factorization': [[[7, 6, 1], 1]], 'hecke_orbit_code': 45035996307262167, 'p': 23}
  • id: 2845284
    {'charpoly_factorization': [[[-4, 4, 1], 1]], 'hecke_orbit_code': 45035996307262167, 'p': 29}
  • id: 2845285
    {'charpoly_factorization': [[[-6, 1], 2]], 'hecke_orbit_code': 45035996307262167, 'p': 31}
  • id: 2845286
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 45035996307262167, 'p': 37}
  • id: 2845287
    {'charpoly_factorization': [[[-7, 10, 1], 1]], 'hecke_orbit_code': 45035996307262167, 'p': 41}
  • id: 2845288
    {'charpoly_factorization': [[[-9, 6, 1], 1]], 'hecke_orbit_code': 45035996307262167, 'p': 43}
  • id: 2845289
    {'charpoly_factorization': [[[28, 12, 1], 1]], 'hecke_orbit_code': 45035996307262167, 'p': 47}
  • id: 2845290
    {'charpoly_factorization': [[[-23, 6, 1], 1]], 'hecke_orbit_code': 45035996307262167, 'p': 53}
  • id: 2845291
    {'charpoly_factorization': [[[79, -18, 1], 1]], 'hecke_orbit_code': 45035996307262167, 'p': 59}
  • id: 2845292
    {'charpoly_factorization': [[[12, 1], 2]], 'hecke_orbit_code': 45035996307262167, 'p': 61}
  • id: 2845293
    {'charpoly_factorization': [[[-28, -4, 1], 1]], 'hecke_orbit_code': 45035996307262167, 'p': 67}
  • id: 2845294
    {'charpoly_factorization': [[[-112, -8, 1], 1]], 'hecke_orbit_code': 45035996307262167, 'p': 71}
  • id: 2845295
    {'charpoly_factorization': [[[-63, -6, 1], 1]], 'hecke_orbit_code': 45035996307262167, 'p': 73}
  • id: 2845296
    {'charpoly_factorization': [[[-25, -10, 1], 1]], 'hecke_orbit_code': 45035996307262167, 'p': 79}
  • id: 2845297
    {'charpoly_factorization': [[[-16, 8, 1], 1]], 'hecke_orbit_code': 45035996307262167, 'p': 83}
  • id: 2845298
    {'charpoly_factorization': [[[92, 20, 1], 1]], 'hecke_orbit_code': 45035996307262167, 'p': 89}
  • id: 2845299
    {'charpoly_factorization': [[[-72, 0, 1], 1]], 'hecke_orbit_code': 45035996307262167, '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': 11, 'label': '2775.2.a.k', '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: 54304849
    {'hecke_orbit_code': 45035996307262167, 'n': 1, 'trace_an': 2}
  • id: 54304850
    {'hecke_orbit_code': 45035996307262167, 'n': 2, 'trace_an': -2}
  • id: 54304851
    {'hecke_orbit_code': 45035996307262167, 'n': 3, 'trace_an': -2}
  • id: 54304852
    {'hecke_orbit_code': 45035996307262167, 'n': 4, 'trace_an': 2}
  • id: 54304853
    {'hecke_orbit_code': 45035996307262167, 'n': 5, 'trace_an': 0}
  • id: 54304854
    {'hecke_orbit_code': 45035996307262167, 'n': 6, 'trace_an': 2}
  • id: 54304855
    {'hecke_orbit_code': 45035996307262167, 'n': 7, 'trace_an': -4}
  • id: 54304856
    {'hecke_orbit_code': 45035996307262167, 'n': 8, 'trace_an': -6}
  • id: 54304857
    {'hecke_orbit_code': 45035996307262167, 'n': 9, 'trace_an': 2}
  • id: 54304858
    {'hecke_orbit_code': 45035996307262167, 'n': 10, 'trace_an': 0}
  • id: 54304859
    {'hecke_orbit_code': 45035996307262167, 'n': 11, 'trace_an': 0}
  • id: 54304860
    {'hecke_orbit_code': 45035996307262167, 'n': 12, 'trace_an': -2}
  • id: 54304861
    {'hecke_orbit_code': 45035996307262167, 'n': 13, 'trace_an': 4}
  • id: 54304862
    {'hecke_orbit_code': 45035996307262167, 'n': 14, 'trace_an': 4}
  • id: 54304863
    {'hecke_orbit_code': 45035996307262167, 'n': 15, 'trace_an': 0}
  • id: 54304864
    {'hecke_orbit_code': 45035996307262167, 'n': 16, 'trace_an': 6}
  • id: 54304865
    {'hecke_orbit_code': 45035996307262167, 'n': 17, 'trace_an': 4}
  • id: 54304866
    {'hecke_orbit_code': 45035996307262167, 'n': 18, 'trace_an': -2}
  • id: 54304867
    {'hecke_orbit_code': 45035996307262167, 'n': 19, 'trace_an': 6}
  • id: 54304868
    {'hecke_orbit_code': 45035996307262167, 'n': 20, 'trace_an': 0}
  • id: 54304869
    {'hecke_orbit_code': 45035996307262167, 'n': 21, 'trace_an': 4}
  • id: 54304870
    {'hecke_orbit_code': 45035996307262167, 'n': 22, 'trace_an': -8}
  • id: 54304871
    {'hecke_orbit_code': 45035996307262167, 'n': 23, 'trace_an': -6}
  • id: 54304872
    {'hecke_orbit_code': 45035996307262167, 'n': 24, 'trace_an': 6}
  • id: 54304873
    {'hecke_orbit_code': 45035996307262167, 'n': 25, 'trace_an': 0}
  • id: 54304874
    {'hecke_orbit_code': 45035996307262167, 'n': 26, 'trace_an': -12}
  • id: 54304875
    {'hecke_orbit_code': 45035996307262167, 'n': 27, 'trace_an': -2}
  • id: 54304876
    {'hecke_orbit_code': 45035996307262167, 'n': 28, 'trace_an': -4}
  • id: 54304877
    {'hecke_orbit_code': 45035996307262167, 'n': 29, 'trace_an': -4}
  • id: 54304878
    {'hecke_orbit_code': 45035996307262167, 'n': 30, 'trace_an': 0}
  • id: 54304879
    {'hecke_orbit_code': 45035996307262167, 'n': 31, 'trace_an': 12}
  • id: 54304880
    {'hecke_orbit_code': 45035996307262167, 'n': 32, 'trace_an': 6}
  • id: 54304881
    {'hecke_orbit_code': 45035996307262167, 'n': 33, 'trace_an': 0}
  • id: 54304882
    {'hecke_orbit_code': 45035996307262167, 'n': 34, 'trace_an': 12}
  • id: 54304883
    {'hecke_orbit_code': 45035996307262167, 'n': 35, 'trace_an': 0}
  • id: 54304884
    {'hecke_orbit_code': 45035996307262167, 'n': 36, 'trace_an': 2}
  • id: 54304885
    {'hecke_orbit_code': 45035996307262167, 'n': 37, 'trace_an': -2}
  • id: 54304886
    {'hecke_orbit_code': 45035996307262167, 'n': 38, 'trace_an': 6}
  • id: 54304887
    {'hecke_orbit_code': 45035996307262167, 'n': 39, 'trace_an': -4}
  • id: 54304888
    {'hecke_orbit_code': 45035996307262167, 'n': 40, 'trace_an': 0}
  • id: 54304889
    {'hecke_orbit_code': 45035996307262167, 'n': 41, 'trace_an': -10}
  • id: 54304890
    {'hecke_orbit_code': 45035996307262167, 'n': 42, 'trace_an': -4}
  • id: 54304891
    {'hecke_orbit_code': 45035996307262167, 'n': 43, 'trace_an': -6}
  • id: 54304892
    {'hecke_orbit_code': 45035996307262167, 'n': 44, 'trace_an': 16}
  • id: 54304893
    {'hecke_orbit_code': 45035996307262167, 'n': 45, 'trace_an': 0}
  • id: 54304894
    {'hecke_orbit_code': 45035996307262167, 'n': 46, 'trace_an': 10}
  • id: 54304895
    {'hecke_orbit_code': 45035996307262167, 'n': 47, 'trace_an': -12}
  • id: 54304896
    {'hecke_orbit_code': 45035996307262167, 'n': 48, 'trace_an': -6}
  • id: 54304897
    {'hecke_orbit_code': 45035996307262167, 'n': 49, 'trace_an': -6}
  • id: 54304898
    {'hecke_orbit_code': 45035996307262167, 'n': 50, 'trace_an': 0}
  • id: 54304899
    {'hecke_orbit_code': 45035996307262167, 'n': 51, 'trace_an': -4}
  • id: 54304900
    {'hecke_orbit_code': 45035996307262167, 'n': 52, 'trace_an': 20}
  • id: 54304901
    {'hecke_orbit_code': 45035996307262167, 'n': 53, 'trace_an': -6}
  • id: 54304902
    {'hecke_orbit_code': 45035996307262167, 'n': 54, 'trace_an': 2}
  • id: 54304903
    {'hecke_orbit_code': 45035996307262167, 'n': 55, 'trace_an': 0}
  • id: 54304904
    {'hecke_orbit_code': 45035996307262167, 'n': 56, 'trace_an': 12}
  • id: 54304905
    {'hecke_orbit_code': 45035996307262167, 'n': 57, 'trace_an': -6}
  • id: 54304906
    {'hecke_orbit_code': 45035996307262167, 'n': 58, 'trace_an': 12}
  • id: 54304907
    {'hecke_orbit_code': 45035996307262167, 'n': 59, 'trace_an': 18}
  • id: 54304908
    {'hecke_orbit_code': 45035996307262167, 'n': 60, 'trace_an': 0}
  • id: 54304909
    {'hecke_orbit_code': 45035996307262167, 'n': 61, 'trace_an': -24}
  • id: 54304910
    {'hecke_orbit_code': 45035996307262167, 'n': 62, 'trace_an': -12}
  • id: 54304911
    {'hecke_orbit_code': 45035996307262167, 'n': 63, 'trace_an': -4}
  • id: 54304912
    {'hecke_orbit_code': 45035996307262167, 'n': 64, 'trace_an': -14}
  • id: 54304913
    {'hecke_orbit_code': 45035996307262167, 'n': 65, 'trace_an': 0}
  • id: 54304914
    {'hecke_orbit_code': 45035996307262167, 'n': 66, 'trace_an': 8}
  • id: 54304915
    {'hecke_orbit_code': 45035996307262167, 'n': 67, 'trace_an': 4}
  • id: 54304916
    {'hecke_orbit_code': 45035996307262167, 'n': 68, 'trace_an': -28}
  • id: 54304917
    {'hecke_orbit_code': 45035996307262167, 'n': 69, 'trace_an': 6}
  • id: 54304918
    {'hecke_orbit_code': 45035996307262167, 'n': 70, 'trace_an': 0}
  • id: 54304919
    {'hecke_orbit_code': 45035996307262167, 'n': 71, 'trace_an': 8}
  • id: 54304920
    {'hecke_orbit_code': 45035996307262167, 'n': 72, 'trace_an': -6}
  • id: 54304921
    {'hecke_orbit_code': 45035996307262167, 'n': 73, 'trace_an': 6}
  • id: 54304922
    {'hecke_orbit_code': 45035996307262167, 'n': 74, 'trace_an': 2}
  • id: 54304923
    {'hecke_orbit_code': 45035996307262167, 'n': 75, 'trace_an': 0}
  • id: 54304924
    {'hecke_orbit_code': 45035996307262167, 'n': 76, 'trace_an': -18}
  • id: 54304925
    {'hecke_orbit_code': 45035996307262167, 'n': 77, 'trace_an': 0}
  • id: 54304926
    {'hecke_orbit_code': 45035996307262167, 'n': 78, 'trace_an': 12}
  • id: 54304927
    {'hecke_orbit_code': 45035996307262167, 'n': 79, 'trace_an': 10}
  • id: 54304928
    {'hecke_orbit_code': 45035996307262167, 'n': 80, 'trace_an': 0}
  • id: 54304929
    {'hecke_orbit_code': 45035996307262167, 'n': 81, 'trace_an': 2}
  • id: 54304930
    {'hecke_orbit_code': 45035996307262167, 'n': 82, 'trace_an': -6}
  • id: 54304931
    {'hecke_orbit_code': 45035996307262167, 'n': 83, 'trace_an': -8}
  • id: 54304932
    {'hecke_orbit_code': 45035996307262167, 'n': 84, 'trace_an': 4}
  • id: 54304933
    {'hecke_orbit_code': 45035996307262167, 'n': 85, 'trace_an': 0}
  • id: 54304934
    {'hecke_orbit_code': 45035996307262167, 'n': 86, 'trace_an': -6}
  • id: 54304935
    {'hecke_orbit_code': 45035996307262167, 'n': 87, 'trace_an': 4}
  • id: 54304936
    {'hecke_orbit_code': 45035996307262167, 'n': 88, 'trace_an': -8}
  • id: 54304937
    {'hecke_orbit_code': 45035996307262167, 'n': 89, 'trace_an': -20}
  • id: 54304938
    {'hecke_orbit_code': 45035996307262167, 'n': 90, 'trace_an': 0}
  • id: 54304939
    {'hecke_orbit_code': 45035996307262167, 'n': 91, 'trace_an': -8}
  • id: 54304940
    {'hecke_orbit_code': 45035996307262167, 'n': 92, 'trace_an': -14}
  • id: 54304941
    {'hecke_orbit_code': 45035996307262167, 'n': 93, 'trace_an': -12}
  • id: 54304942
    {'hecke_orbit_code': 45035996307262167, 'n': 94, 'trace_an': 20}
  • id: 54304943
    {'hecke_orbit_code': 45035996307262167, 'n': 95, 'trace_an': 0}
  • id: 54304944
    {'hecke_orbit_code': 45035996307262167, 'n': 96, 'trace_an': -6}
  • id: 54304945
    {'hecke_orbit_code': 45035996307262167, 'n': 97, 'trace_an': 0}
  • id: 54304946
    {'hecke_orbit_code': 45035996307262167, 'n': 98, 'trace_an': 6}
  • id: 54304947
    {'hecke_orbit_code': 45035996307262167, 'n': 99, 'trace_an': 0}
  • id: 54304948
    {'hecke_orbit_code': 45035996307262167, 'n': 100, 'trace_an': 0}